4 papers
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection
Yuming Chen, Xinbin Yuan, Jiabao Wang +4
We aim at providing the object detection community with an efficient and performant object detector, termed YOLO-MS. The core design is based on a series of investigations on how m…
Vision Mamba Distillation for Low-resolution Fine-grained Image Classification
Yao Chen, Jiabao Wang, Peichao Wang +2
Low-resolution fine-grained image classification has recently made significant progress, largely thanks to the super-resolution techniques and knowledge distillation methods. Howev…
Paying more attention to local contrast: improving infrared small target detection performance via prior knowledge
Peichao Wang, Jiabao Wang, Yao Chen +3
The data-driven method for infrared small target detection (IRSTD) has achieved promising results. However, due to the small scale of infrared small target datasets and the limited…
CrossKD: Cross-Head Knowledge Distillation for Object Detection
Jiabao Wang, Yuming Chen, Zhaohui Zheng +3
Knowledge Distillation (KD) has been validated as an effective model compression technique for learning compact object detectors. Existing state-of-the-art KD methods for object de…