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Titlebook: Information and Communication Technology for Competitive Strategies; Proceedings of Third Simon Fong,Shyam Akashe,Parikshit N. Mahalle Conf

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41#
發(fā)表于 2025-3-28 18:02:04 | 只看該作者
Vani Kapoor Nijhawan,Mamta Madan,Meenu Davee for this observation. Notably, models trained stably with these terms exhibit superior performance compared to prior FAT work. On this basis, we harness CO to achieve ‘a(chǎn)ttack obfuscation’, aiming to bolster model performance. Consequently, the models suffering from CO can attain optimal classifica
42#
發(fā)表于 2025-3-28 22:04:42 | 只看該作者
43#
發(fā)表于 2025-3-29 00:03:04 | 只看該作者
Yuvaraj S. Patil,Swati V. Sankpaling system. Meanwhile, KP can be . converted from motions to text descriptions with no subjective bias, inspiring Kinematic Prompt Generation (KPG) as a .. In extensive experiments, our approach shows superiority over other methods. Our project is available at ..
44#
發(fā)表于 2025-3-29 06:32:11 | 只看該作者
45#
發(fā)表于 2025-3-29 09:53:32 | 只看該作者
46#
發(fā)表于 2025-3-29 12:24:06 | 只看該作者
Ritu Garg,Rama Rani video segmentation benchmarks, including DAVIS, YouTubeVOS, SegTrackv2, and FBMS-59. We achieve competitive performance on single-object segmentation, while significantly outperforming existing models on the more challenging problem of multi-object segmentation. Finally, we investigate the benefits
47#
發(fā)表于 2025-3-29 15:48:42 | 只看該作者
I. Joe Louis Paul,S. Sasirekha,S. Uma Maheswari,K. A. M. Ajith,S. M. Arjun,S. Athesh Kumar interpretable representations, an LLM can directly intervene in motion editing by adjusting the pose codes according to editing instructions. Experiments demonstrate that CoMo achieves competitive performance in motion generation compared to state-of-the-art models while, in human studies, CoMo sub
48#
發(fā)表于 2025-3-29 20:06:18 | 只看該作者
Ramsha Fatima,Nadia Siddiqui,M. Sarosh Umar,M. H. Khanarated symbolization and shared reasoning. The proposed two-stage framework achieves impressive generalization ability on various visual reasoning tasks, including puzzles, physical prediction, and visual question answering (VQA), encompassing 2D and 3D modalities. We believe our insights will pave
49#
發(fā)表于 2025-3-30 03:06:50 | 只看該作者
Manisha Agarwal,Manisha Jailiaand the long-range attention in the transformer decoder to refine bounding boxes incrementally. Extensive experiments on ScanNet and SUN RGB-D datasets demonstrate that Diff3DETR outperforms state-of-the-art semi-supervised 3D object detection methods.
50#
發(fā)表于 2025-3-30 05:03:30 | 只看該作者
Multilayer Visual Cryptography with Soft Computing Approach for Authentication, visual cryptography and its strategies are also discussed in this paper. Visual cryptography is a variant of secret sharing schemes which encrypt the secret information in such a way that mathematical operations are not necessary to decode the secret. Human visual system is necessary and sufficient
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