lisenbuaa

paper-reading

深度学习经典、新论文逐段精读

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

LongLoRA

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks].

awesome-openai-vision-api-experiments

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Awesome-CLIP

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

ai-comic-factory

Generate comic panels using a LLM + SDXL. Powered by Hugging Face 🤗

VoxelNeXt

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

Awesome-Remote-Sensing-Foundation-Models

GeoSeg

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

awesome-foundation-and-multimodal-models

👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]

Awesome-Noisy-Labels

A Survey

Remote-Sensing-RVSA

The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"

SinNeRF

[ECCV 2022] "SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

Segment-Anything-CLIP

Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works

DeepMoon

Convolutional neural network code for extracting Lunar craters from Digital Elevation Maps (DEMs).

C2D

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

SurveyCSS

A Survey on Continual/Incremental Semantic Segmentation

Nested-Co-teaching

(L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise

STEERER

STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023

MostHarmlessQuantitativeFinance

Codes for Mostly Harmless Quantitative Finance

RIS-DMMI

PGDF

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

SLIC_for_hyperspectral_images

This set of files contains the Matlab code for the SLIC segmentation on the hyperspectral images.

Geographical-Knowledge-driven-Representaion-Learning

HSI_transformer

transformer-based method for HSI classification

mmsegmentation-mpcnet