IEEE

ReFocal: Addressing Learning Imbalances for Accurate Tiny Object Detection in Aerial Imagery

Abstract: Tiny objects in aerial imagery usually exhibit an extremely limited number of pixels, significantly affecting the object detection model’s learning process. While existing research has ...

These dogs eavesdrop on their owners to learn new words

For instance, the group’s 2022 study discovered that dogs store key sensory features about their toys—notably what they look ...
GitHub

[ICCV2025] CleanPose: Category-Level Object Pose Estimation via Causal Learning and Knowledge Distillation

Official implementation of our CleanPose, the first solution to mitigate the confoundering effect in category-level pose estimation via causal learning and knowledge distillation. You can generate the ...
IEEE

BAUODNET for Class Imbalance Learning in Underwater Object Detection

Abstract: Underwater object detection is of great significance for various applications in underwater scenes. However, class imbalance issue is still an unsolved bottleneck for current underwater ...
GitHub

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning

Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...