26 citations · 43 across the 7 of their papers we have counts for
7 papers
Enhancing Your Trained DETRs with Box Refinement
Yiqun Chen, Qiang Chen, Peize Sun +3
We present a conceptually simple, efficient, and general framework for localization problems in DETR-like models. We add plugins to well-trained models instead of inefficiently des…
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection
Yiqun Chen, Qiang Chen, Qinghao Hu +1
Fully convolutional detectors discard the one-to-many assignment and adopt a one-to-one assigning strategy to achieve end-to-end detection but suffer from the slow convergence issu…
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
Yanpeng Sun, Qiang Chen, Xiangyu He +7
Freezing the pre-trained backbone has become a standard paradigm to avoid overfitting in few-shot segmentation. In this paper, we rethink the paradigm and explore a new regime: {\e…
MixFormer: Mixing Features across Windows and Dimensions
Qiang Chen, Qiman Wu, Jian Wang +5
While local-window self-attention performs notably in vision tasks, it suffers from limited receptive field and weak modeling capability issues. This is mainly because it performs…
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond
Xiangyu He, Jian Cheng
Super-resolution as an ill-posed problem has many high-resolution candidates for a low-resolution input. However, the popular loss used to best fit the given HR image fail…
Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices
Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu +4
For practical deep neural network design on mobile devices, it is essential to consider the constraints incurred by the computational resources and the inference latency in various…
Architecture Aware Latency Constrained Sparse Neural Networks
Tianli Zhao, Qinghao Hu, Xiangyu He +4
Acceleration of deep neural networks to meet a specific latency constraint is essential for their deployment on mobile devices. In this paper, we design an architecture aware laten…