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평가표

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보존된 평가 기록

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코드

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

https://github.com/fudan-zvg/seaformer

공식 코드

SeaFormer++: Squeeze-enhanced Axial Transformer for Mobile Visual Recognition

https://github.com/fudan-zvg/wovogen

공식 코드

WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation

https://github.com/fudanvi/fudanocr

공식 코드

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution

https://github.com/fudanxu/lora-det

공식 코드

Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images

https://github.com/fujiry0/egosurgery

공식 코드

EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos

https://github.com/fundamentalvision/Deformable-DETR

공식 코드

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

https://github.com/fundamentalvision/parameterized-ap-loss

공식 코드

Searching Parameterized AP Loss for Object Detection

https://github.com/fupiao1998/TrasformerSOD

공식 코드

Generative Transformer for Accurate and Reliable Salient Object Detection

https://github.com/fupiao1998/transformersod

공식 코드

Generative Transformer for Accurate and Reliable Salient Object Detection

https://github.com/fuqichen1998/SequentialVotingDet

공식 코드

Sequential Voting with Relational Box Fields for Active Object Detection

https://github.com/fushenghao/privacypreservingml

공식 코드

Human-imperceptible, Machine-recognizable Images

https://github.com/fuyaluo/morngan

공식 코드

Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization

https://github.com/fuying-wang/mgca

공식 코드

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

https://github.com/fvasluianu97/ifblend

공식 코드

Towards Image Ambient Lighting Normalization

https://github.com/fyan111/rlfn

공식 코드

Residual Local Feature Network for Efficient Super-Resolution

https://github.com/fzi-forschungszentrum-informatik/NNAD

공식 코드

Simultaneous Object Detection and Semantic Segmentation

https://github.com/fzuzyb/ASteISR

공식 코드

ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution

https://github.com/fzuzyb/scglanet

공식 코드

Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information

https://github.com/gabriel-sgama/semantic-superpoint

공식 코드

Semantic SuperPoint: A Deep Semantic Descriptor

https://github.com/gabrieleciravegna/knowledge-driven-active-learning

공식 코드

Knowledge-driven Active Learning

https://github.com/gabrieleilertsen/nws

공식 코드

Classifying the classifier: dissecting the weight space of neural networks

https://github.com/gabrielhuang/awesome-few-shot-object-detection

공식 코드

A Survey of Self-Supervised and Few-Shot Object Detection

https://github.com/gaia-vision/gaia-ssl

공식 코드

DATA: Domain-Aware and Task-Aware Self-supervised Learning

https://github.com/gakkistar/fishmot

공식 코드

FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU Matching

https://github.com/galaxy-zrx/edgehead

공식 코드

Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object Detection

https://github.com/gamepai0811/fmsa

공식 코드

Efficient Feature Fusion for UAV Object Detection

https://github.com/ganwanshui/es6d

공식 코드

ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework

https://github.com/ganwanshui/simpleoccupancy

공식 코드

A Simple Framework for 3D Occupancy Estimation in Autonomous Driving

https://github.com/gaopengcuhk/Container

공식 코드

Container: Context Aggregation Network

https://github.com/gaopengcuhk/SMCA-DETR

공식 코드

End-to-End Object Detection with Adaptive Clustering Transformer

https://github.com/gaoyingjay/ps-ttl

공식 코드

PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection

https://github.com/garfield-cpp/hgsfusion

공식 코드

HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection

https://github.com/garrickbrazil/M3D-RPN

공식 코드

M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

https://github.com/garyson1204/hginet

공식 코드

Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection

https://github.com/gatedip/gdip-yolo

공식 코드

GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions

https://github.com/gatorsense/matl

공식 코드

Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection

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