作者: Melodrama 時間: 2025-3-21 20:38
,OSFormer: One-Stage Camouflaged Instance Segmentation with?Transformers,esign a . (LST) to obtain the location label and instance-aware parameters by introducing the location-guided queries and the blend-convolution feed-forward network. Second, we develop a . (CFF) to merge diverse context information from the LST encoder and CNN backbone. Coupling these two components作者: Devastate 時間: 2025-3-22 01:04
Highly Accurate Dichotomous Image Segmentation,ages. To this end, we collected the first large-scale DIS dataset, called ., which contains 5,470 high-resolution (., 2K, 4K or larger) images covering ., ., or . in various backgrounds. DIS is annotated with extremely fine-grained labels. Besides, we introduce a simple intermediate supervision base作者: anus928 時間: 2025-3-22 06:36
,Boosting Supervised Dehazing Methods via?Bi-level Patch Reweighting,rvised dehazing methods, in which all training patches are accounted for equally in the loss design. These supervised methods may fail in making promising recoveries on some regions contaminated by heavy hazes. Therefore, for a more reasonable dehazing losses design, the varying importance of differ作者: 單色 時間: 2025-3-22 11:12
,Flow-Guided Transformer for?Video Inpainting,in transformer for high fidelity video inpainting. More specially, we design a novel flow completion network to complete the corrupted flows by exploiting the relevant flow features in a local temporal window. With the completed flows, we propagate the content across video frames, and adopt the flow作者: MONY 時間: 2025-3-22 14:12 作者: MONY 時間: 2025-3-22 19:59
,Perception-Distortion Balanced ADMM Optimization for?Single-Image Super-Resolution,rmance in one aspect due to the perception-distortion trade-off, and works that successfully balance the trade-off rely on fusing results from separately trained models with ad-hoc post-processing. In this paper, we propose a novel super-resolution model with a low-frequency constraint (LFc-SR), whi作者: 接合 時間: 2025-3-22 22:37
,VQFR: Blind Face Restoration with?Vector-Quantized Dictionary and?Parallel Decoder,d facial details faithful to inputs remains a challenging problem. Motivated by the classical dictionary-based methods and the recent vector quantization (VQ) technique, we propose a VQ-based face restoration method – VQFR. VQFR takes advantage of high-quality low-level feature banks extracted from 作者: 哀悼 時間: 2025-3-23 02:57 作者: 省略 時間: 2025-3-23 05:55
,Learning Spatio-Temporal Downsampling for?Effective Video Upscaling,uch as moiré patterns in space and the wagon-wheel effect in time. Consequently, the inverse task of upscaling a low-resolution, low frame-rate video in space and time becomes a challenging ill-posed problem due to information loss and aliasing artifacts. In this paper, we aim to solve the space-tim作者: 開玩笑 時間: 2025-3-23 13:40
Conference proceedings 2022on, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022..?.The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement lear作者: 不知疲倦 時間: 2025-3-23 14:42
,OSFormer: One-Stage Camouflaged Instance Segmentation with?Transformers, enables OSFormer to efficiently blend local features and long-range context dependencies for predicting camouflaged instances. Compared with two-stage frameworks, our OSFormer reaches 41% AP and achieves good convergence efficiency without requiring enormous training data, ., only 3,040 samples under 60 epochs. Code link: ..作者: Carminative 時間: 2025-3-23 21:31 作者: 煤渣 時間: 2025-3-24 00:05
Hans Degryse,Vasso Ioannidou,Steven Ongenaher introduce an ADMM-based alternating optimization method for the non-trivial learning of the constrained model. Experiments showed that our method, without cumbersome post-processing procedures, achieved the state-of-the-art performance. The code is available at ..作者: Fibrillation 時間: 2025-3-24 03:31
,Perception-Distortion Balanced ADMM Optimization for?Single-Image Super-Resolution,her introduce an ADMM-based alternating optimization method for the non-trivial learning of the constrained model. Experiments showed that our method, without cumbersome post-processing procedures, achieved the state-of-the-art performance. The code is available at ..作者: 不自然 時間: 2025-3-24 07:24
0302-9743 ruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..978-3-031-19796-3978-3-031-19797-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: DEBT 時間: 2025-3-24 12:07
Hans Degryse,Vasso Ioannidou,Steven Ongenass their roles in making a robust metric. Based on our studies, we develop a new deep neural network-based perceptual similarity metric. Our experiments show that our metric is tolerant to imperceptible shifts while being consistent with the human similarity judgment. Code is available at ..作者: 悶熱 時間: 2025-3-24 16:54
Shift-Tolerant Perceptual Similarity Metric,ss their roles in making a robust metric. Based on our studies, we develop a new deep neural network-based perceptual similarity metric. Our experiments show that our metric is tolerant to imperceptible shifts while being consistent with the human similarity judgment. Code is available at ..作者: facilitate 時間: 2025-3-24 20:04 作者: Condescending 時間: 2025-3-25 02:05 作者: ODIUM 時間: 2025-3-25 03:53
https://doi.org/10.1007/978-3-031-19797-0Computer Science; Informatics; Conference Proceedings; Research; Applications作者: 骯臟 時間: 2025-3-25 08:12
978-3-031-19796-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Chipmunk 時間: 2025-3-25 12:42
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234250.jpg作者: ANTIC 時間: 2025-3-25 18:37
https://doi.org/10.1007/978-3-642-71319-4 quantization to compress SR models. However, these methods suffer from severe performance degradation when quantizing the SR models to ultra-low precision (., 2-bit and 3-bit) with the low-cost layer-wise quantizer. In this paper, we identify that the performance drop comes from the contradiction b作者: placebo 時間: 2025-3-25 20:54
https://doi.org/10.1007/978-3-642-71319-4esign a . (LST) to obtain the location label and instance-aware parameters by introducing the location-guided queries and the blend-convolution feed-forward network. Second, we develop a . (CFF) to merge diverse context information from the LST encoder and CNN backbone. Coupling these two components作者: Cholagogue 時間: 2025-3-26 02:47
https://doi.org/10.1007/978-3-8349-8865-2ages. To this end, we collected the first large-scale DIS dataset, called ., which contains 5,470 high-resolution (., 2K, 4K or larger) images covering ., ., or . in various backgrounds. DIS is annotated with extremely fine-grained labels. Besides, we introduce a simple intermediate supervision base作者: 幼稚 時間: 2025-3-26 05:38 作者: 不能根除 時間: 2025-3-26 11:37
Tsutomu Watanabe,Iichiro Uesugi,Arito Onoin transformer for high fidelity video inpainting. More specially, we design a novel flow completion network to complete the corrupted flows by exploiting the relevant flow features in a local temporal window. With the completed flows, we propagate the content across video frames, and adopt the flow作者: GRAZE 時間: 2025-3-26 15:36
Hans Degryse,Vasso Ioannidou,Steven Ongenalignment error that is imperceptible to the human eyes. This paper studies the effect of small misalignment, specifically a small shift between the input and reference image, on existing metrics, and accordingly develops a shift-tolerant similarity metric. This paper builds upon LPIPS, a widely used作者: 生來 時間: 2025-3-26 19:13 作者: 噴出 時間: 2025-3-26 22:49 作者: 隼鷹 時間: 2025-3-27 03:32
Advances in Japanese Business and Economicstion information for image reconstruction. Such sequential approaches suffer from two fundamental weaknesses - i.e., the lack of robustness (the performance drops when the estimated degradation is inaccurate) and the lack of transparency (network architectures are heuristic without incorporating dom作者: arthroscopy 時間: 2025-3-27 07:06 作者: 向外 時間: 2025-3-27 13:28
Computer Vision – ECCV 2022978-3-031-19797-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: FID 時間: 2025-3-27 13:58
,Dynamic Dual Trainable Bounds for?Ultra-low Precision Super-Resolution Networks,d lower bounds to tackle the highly asymmetric activations. 2) A dynamic gate controller to adaptively adjust the upper and lower bounds at runtime to overcome the drastically varying activation ranges over different samples. To reduce the extra overhead, the dynamic gate controller is quantized to 作者: 抵押貸款 時間: 2025-3-27 21:19 作者: 制定 時間: 2025-3-28 00:40 作者: 柔軟 時間: 2025-3-28 05:44 作者: 切割 時間: 2025-3-28 07:19
,VQFR: Blind Face Restoration with?Vector-Quantized Dictionary and?Parallel Decoder,ity. 2). To further fuse low-level features from inputs while not “contaminating” the realistic details generated from the VQ codebook, we proposed a parallel decoder consisting of a texture decoder and a main decoder. Those two decoders then interact with a texture warping module with deformable co作者: 贊成你 時間: 2025-3-28 11:57
,Uncertainty Learning in?Kernel Estimation for?Multi-stage Blind Image Super-Resolution, prior and the estimated kernel. We have also developed a novel approach of estimating both the scale prior coefficient and the local means of the LSM model through a deep convolutional neural network (DCNN). All parameters of the MAP estimation algorithm and the DCNN parameters are jointly optimize作者: 贊成你 時間: 2025-3-28 16:58 作者: meretricious 時間: 2025-3-28 19:10
https://doi.org/10.1007/978-3-642-71319-4d lower bounds to tackle the highly asymmetric activations. 2) A dynamic gate controller to adaptively adjust the upper and lower bounds at runtime to overcome the drastically varying activation ranges over different samples. To reduce the extra overhead, the dynamic gate controller is quantized to 作者: 隨意 時間: 2025-3-29 01:00 作者: uncertain 時間: 2025-3-29 05:24 作者: Antioxidant 時間: 2025-3-29 10:15
Tsutomu Watanabe,Iichiro Uesugi,Arito Onol transformers. Especially in spatial transformer, we design a dual perspective spatial MHSA, which integrates the global tokens to the window-based attention. Extensive experiments demonstrate the effectiveness of the proposed method qualitatively and quantitatively. Codes are available at ..作者: Hiatal-Hernia 時間: 2025-3-29 12:29 作者: 因無茶而冷淡 時間: 2025-3-29 17:33
