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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/leofansq/QUEST

공식 코드

QUEST: Query Stream for Practical Cooperative Perception

https://github.com/leon1207/video-rag-master

공식 코드

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

https://github.com/leongatys/NeuralImageSynthesis

공식 코드

Controlling Perceptual Factors in Neural Style Transfer

https://github.com/leonlha/pso-convnet-dynamics

공식 코드

PSO-Convolutional Neural Networks with Heterogeneous Learning Rate

https://github.com/leonmakise/prores

공식 코드

ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

https://github.com/leotam/MIMIC-CXR-annotations

공식 코드

Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies

https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

공식 코드

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/lephuoccat/Supervised-Encoding-Quantizer

공식 코드

Supervised Encoding for Discrete Representation Learning

https://github.com/lesterphillip/svcc23_fastsvc

공식 코드

The Singing Voice Conversion Challenge 2023

https://github.com/lethaiq/MALCOM

공식 코드

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

https://github.com/levan92/occlusion-copy-paste

공식 코드

Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation

https://github.com/lewismmason/Thesis-Public

공식 코드

K-Origins: Better Colour Quantification for Neural Networks

https://github.com/lexisnexis-risk-open-source/ledetection

공식 코드

LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection

https://github.com/lexisnexis-risk-open-source/simltd

공식 코드

SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection

https://github.com/lfranke/vet

공식 코드

VET: Visual Error Tomography for Point Cloud Completion and High-Quality Neural Rendering

https://github.com/lgcnsai/ps-kd-pytorch

공식 코드

Self-Knowledge Distillation with Progressive Refinement of Targets

https://github.com/lh3/varcmp

공식 코드

Towards Better Understanding of Artifacts in Variant Calling from High-Coverage Samples

https://github.com/lhoangan/multas

공식 코드

Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data

https://github.com/lhoyer/mic

공식 코드

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

https://github.com/lhy-zjut/cfmw

공식 코드

CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions

https://github.com/li-qingyun/mllm-mmrotate

공식 코드

A Simple Aerial Detection Baseline of Multimodal Language Models

https://github.com/liamjxu/copyright

공식 코드

Do LLMs Know to Respect Copyright Notice?

https://github.com/lianjiatech/belle

공식 코드

ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation

https://github.com/lianqing11/monojsg

공식 코드

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection

https://github.com/libeineu/fairseq_mmt

공식 코드

On Vision Features in Multimodal Machine Translation

https://github.com/libraflower/MutipleFeature-for-PRID

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Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification

https://github.com/libuyu/GHM_Detection

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Gradient Harmonized Single-stage Detector

https://github.com/lidar-perception/lidar-cs

공식 코드

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection

https://github.com/lids-datasets/schistossoma-eggs

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FLIM-based Salient Object Detection Networks with Adaptive Decoders

https://github.com/liewfeng/beam

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Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

https://github.com/liewfeng/imted

공식 코드

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

https://github.com/liewfeng/raydn

공식 코드

Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

https://github.com/lifengshiwo/DIN

공식 코드

Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration

https://github.com/ligang-cs/PseCo

공식 코드

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection

https://github.com/lightdxy/bootmae

공식 코드

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

https://github.com/liguopeng0923/LGP

공식 코드

Towards Generic and Controllable Attacks Against Object Detection

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