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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/lukasHoel/stylemesh

공식 코드

StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions

https://github.com/lukasc-ch/CBinfer

공식 코드

CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams

https://github.com/lukasgebhard/Political-News-Filter

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The POLUSA Dataset: 0.9M Political News Articles Balanced by Time and Outlet Popularity

https://github.com/lukazso/kpbms-pvdn

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Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night

https://github.com/luked12/crop-growth-cgan

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Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks

https://github.com/luluho1208/diffusion-ss3d

공식 코드

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

https://github.com/lumia-group/lot-insts

공식 코드

Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset

https://github.com/luminxu/pose-for-everything

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Pose for Everything: Towards Category-Agnostic Pose Estimation

https://github.com/luo-lorry/Stylized-Medical-Segmentation

공식 코드

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation

https://github.com/luo-z13/pointobb

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PointOBB: Learning Oriented Object Detection via Single Point Supervision

https://github.com/luo3300612/image-captioning-DLCT

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Dual-Level Collaborative Transformer for Image Captioning

https://github.com/luogen1996/oneteacher

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Towards End-to-end Semi-supervised Learning for One-stage Object Detection

https://github.com/luosx18/biomedical-sentence-aligner

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Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation

https://github.com/luowyang/defusion

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Visual-Instructed Degradation Diffusion for All-in-One Image Restoration

https://github.com/luoyadan/crb-active-3ddet

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Exploring Active 3D Object Detection from a Generalization Perspective

https://github.com/luoyan407/gradient_adjustment

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Learning to Minimize the Remainder in Supervised Learning

https://github.com/luping-liu/detector-guidance

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Detector Guidance for Multi-Object Text-to-Image Generation

https://github.com/lutao2021/pidray

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PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection

https://github.com/lutingwang/head

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HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

https://github.com/lutingwang/oadp

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Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection

https://github.com/luy0222/sirst-5k

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SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection

https://github.com/luyongxi/az-net

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Adaptive Object Detection Using Adjacency and Zoom Prediction

https://github.com/luyukang/DCTNet

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Depth-Cooperated Trimodal Network for Video Salient Object Detection

https://github.com/lvyiwei1/StylePTB

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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

https://github.com/lvyiwei1/diffuseq_styleptb

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Fine-grained Text Style Transfer with Diffusion-Based Language Models

https://github.com/lwcver/legnet

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LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection

https://github.com/lwcver/lwganet

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LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks

https://github.com/lwpyh/ProMaC_code

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Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

https://github.com/lxfhfut/self-supervised-leaf-segmentation

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Self-Supervised Leaf Segmentation under Complex Lighting Conditions

https://github.com/lxj-drifter/uiou_files

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Unified-IoU: For High-Quality Object Detection

https://github.com/lxtGH/GALD-Net

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Global Aggregation then Local Distribution in Fully Convolutional Networks

https://github.com/lxtGH/SFSegNets

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Towards Efficient Scene Understanding via Squeeze Reasoning

https://github.com/lxycopper/plu

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Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector

https://github.com/lyanna4869/InfRS

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InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images

https://github.com/lyclyc52/nerf_rpn

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NeRF-RPN: A general framework for object detection in NeRFs

https://github.com/lyessaadsaoud/adod

공식 코드

ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments

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