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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/GT-SALT/Multi-View-Seq2Seq

공식 코드

Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization

https://github.com/GT-Wei/RT-OVAD

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OVA-DETR: Open Vocabulary Aerial Object Detection Using Image-Text Alignment and Fusion

https://github.com/GangmingZhao/GraphFPN-Graph-Feature-Pyramid-Network-for-Object-Detection

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GraphFPN: Graph Feature Pyramid Network for Object Detection

https://github.com/GanlongZhao/CST_DA_detection

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Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection

https://github.com/GaussianObject/GaussianObject

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GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting

https://github.com/Geo-Tell/AncRec

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Shape Anchor Guided Holistic Indoor Scene Understanding

https://github.com/GeoX-Lab/G-RSIM

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TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning

https://github.com/GeorgeDu/vision-based-robotic-grasping

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Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A Review

https://github.com/Georgetown-IR-Lab/covid-neural-ir

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SLEDGE: A Simple Yet Effective Baseline for COVID-19 Scientific Knowledge Search

https://github.com/GewelsJI/FSNet

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Full-Duplex Strategy for Video Object Segmentation

https://github.com/GewelsJI/SINet-V2

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Concealed Object Detection

https://github.com/Glaciohound/LM-Infinite

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LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

https://github.com/GoatWu/AdaLog

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AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer

https://github.com/GongCheng1919/VecQ

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VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization

https://github.com/Gorilla-Lab-SCUT/tango

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TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition

https://github.com/GothicAi/InstaBoost

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InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

https://github.com/GuanRunwei/Achelous

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Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

https://github.com/GuanRunwei/Efficient-VRNet

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ASY-VRNet: Waterway Panoptic Driving Perception Model based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar

https://github.com/Guanghan/DANR

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Data Augmentation for Object Detection via Differentiable Neural Rendering

https://github.com/GuangxingHan/QA-FewDet

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Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks

https://github.com/Gumpest/AvatarKD

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Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty

https://github.com/HAWLYQ/ICECAP

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ICECAP: Information Concentrated Entity-aware Image Captioning

https://github.com/HCIILAB/DeRPN

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DeRPN: Taking a further step toward more general object detection

https://github.com/HCPLab-SYSU/CD-FER-Benchmark

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Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning

https://github.com/HCPLab-SYSU/SSGRL

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Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

https://github.com/HDCVLab/Deblurring-by-Realistic-Blurring

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Deblurring by Realistic Blurring

https://github.com/HDCVLab/MC-Blur-Dataset

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MC-Blur: A Comprehensive Benchmark for Image Deblurring

https://github.com/HDETR/H-Deformable-DETR

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DETRs with Hybrid Matching

https://github.com/HDETR/H-Deformable-DETR-mmdet

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DETRs with Hybrid Matching

https://github.com/HDETR/H-Detic-LVIS

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DETRs with Hybrid Matching

https://github.com/HDETR/H-PETR-3D

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DETRs with Hybrid Matching

https://github.com/HDETR/H-PETR-Pose

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DETRs with Hybrid Matching

https://github.com/HEPIUSLAB/ultrasound_spinal_cord_dataset

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A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation

https://github.com/HIK-LAB/Unsupervised-Image-Classification

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Unsupervised Image Classification for Deep Representation Learning

https://github.com/HITsz-TMG/Hansel

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Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark

https://github.com/HKUST-Aerial-Robotics/FM-Fusion

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FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.