SMBU-MM

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

gpt-3

GPT-3: Language Models are Few-Shot Learners

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

NSFC-application-template-latex

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

NISQA

NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

Tensorflow-bin

Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.

ConSinGAN

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

RGBD-SODsurvey

RGB-D Salient Object Detection: A Survey

memcnn

PyTorch Framework for Developing Memory Efficient Deep Invertible Networks

TANet-image-aesthetics-and-quality-assessment

[IJCAI 2022, Official Code] for paper "Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks". Official Weights and Demos provided. 首个面向多主题场景的美学评估数据集、算法和benchmark.

PointCLIP_V2

[ICCV 2023] PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

VSFA

[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)

LIQE

[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

BVQA_Benchmark

A resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik

MDTVSFA

[official] Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training (IJCV 2021)

PIQ2023

GrabCut

KLT-JND

This is a brief introduction of our proposed JND profile with totally new design philosophy based on KLT.

pytorch-CoopNets

pytorch implementation for CoopNet

color

studies on color, colormaps, and colorspaces

CDNet

Measuring Perceptual Color Differences of Smartphone Photographs

spl

JSPL

CD-Flow

A-DISTS

Locally Adaptive DISTS

pseudocylindrical_convolution

Pseudocylindrical convolutions for Learned Omnidirectional Image Compression

WideGamutColorTest

Testing "Wide-gamut color" capabilities for Android Oreo

OF_BIQA

Learning from multiple annotators for blind image quality assessment in the wild