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daformer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

dcf

This is the official implementation of "Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation" (Accepted at ACM MM 2024 as Oral).

doraemongpt

Official repository of DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models

fec

[CVPR'24] Neural Clustering based Visual Representation Learning

gvseg

This is the official implementation of "GvSeg: General and Task-Oriented Video Segmentation" (Accepted at ECCV 2024).

hieraseg

CVPR2022 - Deep Hierarchical Semantic Segmentation - A structured, pixel-wise description of visual scenes in terms of the class hierarchy.

hrda

[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

lana-vln

Repository of our CVPR2023 paper "Lana: A Language-Capable Navigator for Instruction Following and Generation"

loaf

pipa

Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

s2vnet

This is the official implementation of "Clustering Propagation for Universal Medical Image Segmentation" (Accepted at CVPR 2024).

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

vln-ver

[CVPR24] Volumetric Environment Representation for Vision-Language Navigation