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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/Tung-I/Dual-awareness-Attention-for-Few-shot-Object-Detection

공식 코드

Dual-Awareness Attention for Few-Shot Object Detection

https://github.com/Tverous/HRCenterNet

공식 코드

HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents

https://github.com/UARK-AICV/TrackGUI

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TrackMe:A Simple and Effective Multiple Object Tracking Annotation Tool

https://github.com/UKPLab/SciGen

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Learning to Reason for Text Generation from Scientific Tables

https://github.com/UMBCvision/Contextual-Adversarial-Patches

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Role of Spatial Context in Adversarial Robustness for Object Detection

https://github.com/UMBCvision/Hidden-Trigger-Backdoor-Attacks

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Hidden Trigger Backdoor Attacks

https://github.com/UMBCvision/SSL-Backdoor

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Backdoor Attacks on Self-Supervised Learning

https://github.com/USTC-IMCL/Task-driven-Semantic-Coding-via-RL

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Task-driven Semantic Coding via Reinforcement Learning

https://github.com/USTC3DV/MERFStudio

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City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web

https://github.com/USTCAGI/Awesome-Cross-Domain-Recommendation-Papers-and-Resources

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A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects

https://github.com/UVA-Computer-Vision-Lab/ovmono3d

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Open Vocabulary Monocular 3D Object Detection

https://github.com/Uehwan/SimVODIS

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SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

https://github.com/Upaya07/GPT-FinRE

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GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models

https://github.com/VCCIV/BLVD

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BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

https://github.com/VDIGPKU/CBNetV2

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CBNet: A Composite Backbone Network Architecture for Object Detection

https://github.com/VDIGPKU/DynamicDet

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DynamicDet: A Unified Dynamic Architecture for Object Detection

https://github.com/VDIGPKU/OPANAS

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OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

https://github.com/VDIGPKU/OpenAD

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OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

https://github.com/VIPriors/vipriors-challenges-toolkit

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VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges

https://github.com/VITA-Group/21LPCV-UAV-Solution

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E^2TAD: An Energy-Efficient Tracking-based Action Detector

https://github.com/VITA-Group/LightGaussian

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LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

https://github.com/VITA-Group/Sandwich-Batch-Normalization

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Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity

https://github.com/VITA-Group/UAV-NDFT

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Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach

https://github.com/VRI-UFPR/IDA

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IDA: Improved Data Augmentation Applied to Salient Object Detection

https://github.com/VRU-intention/casr

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Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation

https://github.com/VT-NLP/Mocheg

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End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

https://github.com/VainF/Torch-Pruning

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DepGraph: Towards Any Structural Pruning

https://github.com/Varal7/blank_language_model

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Blank Language Models

https://github.com/Vegeta2020/CIA-SSD

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CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

https://github.com/Vegeta2020/SE-SSD

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SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud

https://github.com/VerwimpEli/CLAD

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CLAD: A realistic Continual Learning benchmark for Autonomous Driving

https://github.com/Vibhu04/Deblurring-Variational-Autoencoders-with-STFT

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Short-Time Fourier Transform for deblurring Variational Autoencoders

https://github.com/VietHoang1710/khmer-nltk

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Multilingual Open Text Release 1: Public Domain News in 44 Languages

https://github.com/Vill-Lab/2023-TIFS-DTIBA

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Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification

https://github.com/VimsLab/SODAWideNet

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SODAWideNet -- Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training

https://github.com/VinAIResearch/CPM

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Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer

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