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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/ChenJoya/dropit

공식 코드

DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training

https://github.com/Chenglin-Yang/LESA

공식 코드

Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms

https://github.com/Chengxiao-Luo/Untargeted-Backdoor-Attack-against-Object-Detection

공식 코드

Untargeted Backdoor Attack against Object Detection

https://github.com/ChenhongyiYang/QueryDet-PyTorch

공식 코드

QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

https://github.com/ChenhongyiYang/SG-NMS

공식 코드

Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes

https://github.com/ChenlongDeng/KELLER

공식 코드

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation

https://github.com/ChenyangLEI/deep-video-prior

공식 코드

Blind Video Temporal Consistency via Deep Video Prior

https://github.com/Chenzhaowei13/Light-Condition-Style-Transfer

공식 코드

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer

https://github.com/Chernobyllight/SaMST

공식 코드

Pluggable Style Representation Learning for Multi-Style Transfer

https://github.com/Chernobyllight/SaMam

공식 코드

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer

https://github.com/ChiCheng123/JointDet

공식 코드

Relational Learning for Joint Head and Human Detection

https://github.com/ChipsGuardian/DualConv

공식 코드

DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks

https://github.com/ChisonShang/MeshCompletion

공식 코드

Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment

https://github.com/ChongjianGE/MetaBEV

공식 코드

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation

https://github.com/ChrisAllenMing/GPA-detection

공식 코드

Cross-domain Detection via Graph-induced Prototype Alignment

https://github.com/Chrisa142857/PolarNet-GCdet

공식 코드

Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data

https://github.com/ChristianMarzahl/EIPH_WSI

공식 코드

Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides

https://github.com/ChristophReich1996/Cell-DETR

공식 코드

Attention-Based Transformers for Instance Segmentation of Cells in Microstructures

https://github.com/ChunbiaoZhu/PDNet

공식 코드

PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection

https://github.com/Cli98/DMNet

공식 코드

Density Map Guided Object Detection in Aerial Images

https://github.com/Cloud-CV/object-proposals

공식 코드

Object-Proposal Evaluation Protocol is 'Gameable'

https://github.com/CodeMonsterPHD/GaTector-A-Unified-Framework-for-Gaze-Object-Prediction

공식 코드

GaTector: A Unified Framework for Gaze Object Prediction

https://github.com/Coding-Rod/crime_detection

공식 코드

Distributed Intelligent Video Surveillance for Early Armed Robbery Detection based on Deep Learning

https://github.com/CompNet/nerwip

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A Comparison of Named Entity Recognition Tools Applied to Biographical Texts

https://github.com/CompVis/brushstroke-parameterized-style-transfer

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Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes

https://github.com/Computer-Vision-in-the-Wild/Elevater_Toolkit_IC

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ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

https://github.com/CongliangLi/LabelImg3D

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Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision

https://github.com/CongliangLi/SMOPE-Net

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Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision

https://github.com/ConsistencyVC/ConsistencyVC-voive-conversion

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Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversion

https://github.com/Coolshanlan/DDFH-active-3Ddet

공식 코드

Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection

https://github.com/CosmiQ/yolt

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You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery

https://github.com/CreativeCodingLab/TextAnnotationGraphs

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Text Annotation Graphs: Annotating Complex Natural Language Phenomena

https://github.com/CuiRuikai/SAM-SOD

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Adaptive Low Rank Adaptation of Segment Anything to Salient Object Detection

https://github.com/CupidJay/Tobias

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A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications

https://github.com/D0352276/CSL-YOLO

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CSL-YOLO: A New Lightweight Object Detection System for Edge Computing

https://github.com/D0352276/SFPN-Synthetic-FPN-for-Object-Detection

공식 코드

SFPN: Synthetic FPN for Object Detection

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