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TPAMI:Frequency-aware Feature Fusion for Dense Image Prediction
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]
Code implementation of Dunhuang Art Style Transfer via Hierarchical Vision Transformer and Color Consistency Constraints
Official code of Remote Sensing Mamba
[CVPR 2024] Official implement of <Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation>
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
[ICLR 2023] "Dilated convolution with learnable spacings" Ismail Khalfaoui Hassani, Thomas Pellegrini and Timothée Masquelier
Amidst the allure of a vast collection of papers, the true essence of strength remains elusive. It is not in the proliferation of papers that one finds resilience, but in the discernment cultivated…
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
Understanding Convolution for Semantic Segmentation
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"
Contextual HookFormer for Glacier Calving Front Segmentation (DOI: 10.1109/TGRS.2024.3368215)
Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing
ImageMagick is a powerful, open-source software suite for creating, editing, converting, and manipulating images in over 200 formats. Ideal for web developers, graphic designers, and researchers, i…
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
CVPR 2024 Highlight: Frequency-Adaptive Dilated Convolution for Semantic Segmentation
Feature Leveling Neural Network for better NN Interpretation
IDE-style autocomplete for your existing terminal & shell
Data science project producing sea ice concentration maps from satellite images.
This repo is an pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation