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Baoliang CHEN（陈宝亮）'s starred repositories

segment-anything

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.

Language:Jupyter NotebookApache-2.046243 305 658

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

Language:Jupyter NotebookApache-2.07277 58 138

MedSAM

Segment Anything in Medical Images

Language:Jupyter NotebookApache-2.02657 19 256

Semantic-Segment-Anything

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Language:PythonApache-2.02080 19 57

Awesome-Image-Quality-Assessment

A comprehensive collection of IQA papers

Language:TeXMIT878 24 9

VLMEvalKit

Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 30+ benchmarks

Language:PythonApache-2.0858 11 125

Awesome-Segment-Anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

MIT728 19 7

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

MIT641 17 1

VBench

[CVPR2024 Highlight] VBench - We Evaluate Video Generation

Language:PythonApache-2.0452 11 50

WiFi-CSI-Sensing-Benchmark

Language:PythonMIT310 6 14

Q-Bench

①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.

Language:Jupyter NotebookNOASSERTION227 1 11

awesome-video-generation

A collection of awesome video generation studies.

Language:TeXMIT210 90

Q-Instruct

②[CVPR 2024] Low-level visual instruction tuning, with a 200K dataset and a model zoo for fine-tuned checkpoints.

Language:PythonNOASSERTION188 2 28

XAI

Papers and code of Explainable AI esp. w.r.t. Image classificiation

Language:Jupyter Notebook186 120

nsfc

nsfc - 国家自然科学基金项目LaTeX模版(面青地)

Language:TeX167 5 12

BenchLMM

[ECCV 2024] BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

Language:PythonApache-2.08200

fisher-information-matrix

PyTorch implementation of FIM and empirical FIM

Language:Python57 6 2

segment-anything-edge-detection

Unofficial edge detection implementation using the Automatic Mask Generation (AMG) of the Segment Anything Model (SAM).

Language:C++49 1 6

SAM-IQA

An effective image quality assessment framework combining Segment Anything (SAM). This is the official implementation of our paper.

Apache-2.024 6 7

self-similarity-prior

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations

Language:Jupyter NotebookMIT23 80

VCRNet

Code for VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment

Language:Python21 1 6

GSTVQA

Code for 'Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment'

Language:Python19 1 3

STI-VQA

[TCSVT2022] Official Implementation of STI-VQA

Language:Python8 1 2

IQA4VQA

Best Practices for Initializing Image and Video Quality Assessment Models

Language:Python6 10

IACA_For_Lowlight_IQA

Code for "Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement"

Language:PythonMIT5 10

DeepDC

Language:PythonMIT5 10

FLRE

Towards thousands to one reference: can we trust the reference image for quality assessment?

Language:Python400

dnn_hsic

Measuring HSIC(Hilbert Space Independence Critation) between intermediate layers in Deep Neural Network models.

Language:Jupyter Notebook2 1 1

DMM

MIT1 10

CompressAI-Trainer

Training platform for End-to-End compression models, losses and metrics defined in Compressai

BSD-3-Clause-Clear100