3.5k citations · 16k across the 85 of their papers we have counts for
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Attention Mechanisms in Computer Vision: A Survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu +7
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim o…
Unsupervised Scale-consistent Depth Learning from Video
Jia-Wang Bian, Huangying Zhan, Naiyan Wang +5
We propose a monocular depth estimator SC-Depth, which requires only unlabelled videos for training and enables the scale-consistent prediction at inference time. Our contributions…
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Gang Xu, Jun Xu, Zhen Li +3
Space-time video super-resolution (STVSR) aims to increase the spatial and temporal resolutions of low-resolution and low-frame-rate videos. Recently, deformable convolution based…
Decoupled Spatial Temporal Graphs for Generic Visual Grounding
Qianyu Feng, Yunchao Wei, Mingming Cheng +1
Visual grounding is a long-lasting problem in vision-language understanding due to its diversity and complexity. Current practices concentrate mostly on performing visual grounding…
Localization Distillation for Dense Object Detection
Zhaohui Zheng, Rongguang Ye, Ping Wang +4
Knowledge distillation (KD) has witnessed its powerful capability in learning compact models in object detection. Previous KD methods for object detection mostly focus on imitating…
Concealed Object Detection
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng +1
We present the first systematic study on concealed object detection (COD), which aims to identify objects that are "perfectly" embedded in their background. The high intrinsic simi…