RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
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Updated
Jun 1, 2019 - MATLAB
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
[CVPR 2023 (Highlight)] Offical implementation of the paper "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction".
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
A Monocular depth-estimation for in-the-wild AutoFocus application.
[AAAI22 Oral] Reliable Propagation-Correction Modulation for Video Object Segmentation
[ICCV2023] CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
Image segmentation for self-driving car. Based on Cityscapes dataset.
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