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Found 7 papers, 6 papers with code
Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection
Current methods for open-vocabulary object detection (OVOD) rely on a pre-trained vision-language model (VLM) to acquire the recognition ability.
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation
Taking the symmetry properties of objects into consideration, we design a symmetry-aware matching loss to facilitate the learning of dense point-wise geometry features and improve the performance considerably.
Autoregressive Visual Tracking
We present ARTrack, an autoregressive framework for visual object tracking.
Ranked #1 on
Visual Tracking
on TNL2K
End-to-End Multi-Person Pose Estimation With Transformers
Current methods of multi-person pose estimation typically treat the localization and association of body joints separately.
Scene-Adaptive Attention Network for Crowd Counting
First of all, we design a deformable attention in-built Transformer backbone, which learns adaptive feature representations with deformable sampling locations and dynamic attention weights.
SOIT: Segmenting Objects with Instance-Aware Transformers
The pixel-wise mask, especially, is embedded by a group of parameters to construct a lightweight instance-aware transformer.
InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
Multi-person pose estimation is an attractive and challenging task.
Ranked #4 on
Multi-Person Pose Estimation
on COCO minival
