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Found 5 papers, 1 papers with code
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
These networks, although effective in multiple tasks such as classification or object detection, tend to focus on the most discriminative part of an object rather than retrieving all its relevant features.
Ranked #4 on
Person Re-Identification
on CUHK03 detected
PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation
It does not need any post-processing to regroup joints since the network predicts a full 3D pose for each bounding box and allows the pose estimation of a possibly large number of people at low resolution.
Hierarchical Complementary Learning for Weakly Supervised Object Localization
The aim of removing parts from image or detected parts of the object is to force the model to detect the other features.
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation
It does not need any post-processing to regroup joints since the network predicts a full 3D pose for each bounding box and allows the pose estimation of a possibly large number of people at low resolution.
Single-shot 3D multi-person pose estimation in complex images
In this paper, we propose a new single shot method for multi-person 3D human pose estimation in complex images.
3D Multi-Person Human Pose Estimation
3D Multi-Person Pose Estimation
+1
