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christuit

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HTRPN

Init commit for HTRPN

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Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

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bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

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annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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LSKNet

(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing

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Cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

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ODConv

The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).

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Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

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DAT

Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

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MPP-LLaVA

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.

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mixup-cifar10

mixup: Beyond Empirical Risk Minimization

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PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

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CoTNet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

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RMT

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

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deform_conv_pytorch

PyTorch Implementation of Deformable Convolution

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ScConv

🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy

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awesome-attention-mechanism-in-cv

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

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CLIP

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

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detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

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GLIP

Grounded Language-Image Pre-training

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QA-FewDet

Code for ICCV 2021 paper: 'Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks'

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PVT

Official implementation of PVT series

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DCNet

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021

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awesome-few-shot-object-detection

Collect some papers and datastes about few-shot object detection for computer vision.

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MPSR

Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020

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GFSD

This project provides an implementation for "Generalized Few-Shot Object Detection without Forgetting" (CVPR2021) on PyTorch.

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