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2D Classification

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/huangyebiaoke/steel-pipe-weld-defect-detection

공식 코드

Deep Learning Based Steel Pipe Weld Defect Detection

https://github.com/huangyh98/advreal

공식 코드

AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection Systems

https://github.com/huangzhe885/codiff

공식 코드

CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection

https://github.com/huangzhe885/roco

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RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment

https://github.com/huangzizheng01/shufflemamba

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Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training

https://github.com/huankoh/long-doc-summarization

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An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics

https://github.com/huanranchen/AdversarialAttacks

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Rethinking Model Ensemble in Transfer-based Adversarial Attacks

https://github.com/huawei-lin/InplaceOnlineGBDT

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Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data

https://github.com/huawei-noah/CV-backbones

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An Image Patch is a Wave: Phase-Aware Vision MLP

https://github.com/huawei-noah/Data-Efficient-Model-Compression/tree/master/DAFL

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Data-Free Learning of Student Networks

https://github.com/huawei-noah/Efficient-Computing

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Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

https://github.com/huawei-noah/Efficient-Computing/tree/master/Detection/Gold-YOLO

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Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

https://github.com/huawei-noah/Pretrained-IPT

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Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation

https://github.com/huawei-noah/Speech-Backbones

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Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

https://github.com/huawei-noah/efficient-ai-backbones

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Vision GNN: An Image is Worth Graph of Nodes

https://github.com/huawei-noah/noah-research/tree/master/TokenFusion

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Multimodal Token Fusion for Vision Transformers

https://github.com/huawei-noah/vega

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An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization

https://github.com/hubertsgithub/style_painting_robustness

공식 코드

What Can Style Transfer and Paintings Do For Model Robustness?

https://github.com/hucaofighting/frn

공식 코드

Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection

https://github.com/huggingface/pytorch-image-models

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DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs

https://github.com/hui-po-wang/LM-GC

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Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models

https://github.com/huicongzhang/bsstnet

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Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring

https://github.com/huicongzhang/stdan

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Spatio-Temporal Deformable Attention Network for Video Deblurring

https://github.com/huiminshii/dpnet

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DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention

https://github.com/hujie-frank/SENet

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Squeeze-and-Excitation Networks

https://github.com/hujiecpp/ISTR

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ISTR: End-to-End Instance Segmentation with Transformers

https://github.com/hula-ai/DAMA

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Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder

https://github.com/human-analysis/MUXConv

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MUXConv: Information Multiplexing in Convolutional Neural Networks

https://github.com/humansensinglab/Generalizable-Human-Gaussians

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Generalizable Human Gaussians for Sparse View Synthesis

https://github.com/humza909/survery-image-mixing-and-deleting-for-data-augmentation

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Survey: Image Mixing and Deleting for Data Augmentation

https://github.com/hungntt/LangXAI

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LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks

https://github.com/hunter-will/vidue-mindspore

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Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time

https://github.com/hunterj-lin/activeteacher

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Active Teacher for Semi-Supervised Object Detection

https://github.com/hunto/diffkd

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Knowledge Diffusion for Distillation

https://github.com/hunto/dist_kd

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Knowledge Distillation from A Stronger Teacher

https://github.com/hunto/lightvit

공식 코드

LightViT: Towards Light-Weight Convolution-Free Vision Transformers

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