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07/25/2022
W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection
Weakly-supervised object detection (WSOD) aims to train an object detect...
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06/22/2022
Prototypical Contrastive Language Image Pretraining
Contrastive Language Image Pretraining (CLIP) received widespread attent...
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08/22/2021
Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads
After DETR was proposed, this novel transformer-based detection paradigm...
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07/22/2021
Adaptive Dilated Convolution For Human Pose Estimation
Most existing human pose estimation (HPE) methods exploit multi-scale in...
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06/08/2021
Graph-MLP: Node Classification without Message Passing in Graph
Graph Neural Network (GNN) has been demonstrated its effectiveness in de...
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04/07/2021
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection
Occlusion is very challenging in pedestrian detection. In this paper, we...
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03/03/2021
General Instance Distillation for Object Detection
In recent years, knowledge distillation has been proved to be an effecti...
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12/30/2020
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
Heatmap regression has become the most prevalent choice for nowadays hum...
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12/13/2020
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
In this paper, we propose an efficient human pose estimation network (DA...
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03/31/2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
We extend this idea further to explicitly model the distribution-level r...
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03/09/2020
Learning Delicate Local Representations for Multi-Person Pose Estimation
In this paper, we propose a novel method called Residual Steps Network (...
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08/19/2018
GridFace: Face Rectification via Learning Local Homography Transformations
In this paper, we propose a method, called GridFace, to reduce facial ge...
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01/20/2015
