Titlebook: Computer Vision – ACCV 2018; 14th Asian Conferenc C. V. Jawahar,Hongdong Li,Konrad Schindler Conference proceedings 2019 Springer Nature Sw

Saline

Learning Image-to-Image Translation Using Paired and Unpaired Training Samplesvely improved results. Our model outperforms the baselines also in the case of purely paired and unpaired training data. To our knowledge, this is the first work to consider such hybrid setup in image-to-image translation.

fulmination

overweight

Aligning Salient Objects to Queries: A Multi-modal and Multi-object Image Retrieval Frameworklity of the co-occurrence of different objects in the training set. We validate the performance of our approach on standard single/multi-object datasets, showing state-of-the art performance in every dataset.

PRISE

FACET

可忽略

Revolutionary Ecological Liberation: he single model trained on four holistic ReID datasets achieves competitive accuracy on these four datasets, as well as outperforms the state-of-the-art methods on two partial ReID datasets without training.

Emasculate

Endearing

Ringworm

Interregnum

SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-identificationen occluded by obstacles or other persons in practical scenarios, which makes partial person re-identification non-trivial. In this paper, we propose a spatial-channel parallelism network (SCPNet) in which each channel in the ReID feature pays attention to a given spatial part of the body. The spati