Papers with Code 아카이브

16k

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

6

평가표

1

보존된 평가 기록

1

코드

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

https://bitbucket.org/edge-team-leat/microai_public

공식 코드

Quantization and Deployment of Deep Neural Networks on Microcontrollers

https://bitbucket.org/gsudmlab/multiscale_iou

공식 코드

Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures

https://git.openi.org.cn/OpenPointCloud/PCSOD

공식 코드

Salient Object Detection for Point Clouds

https://gitee.com/HarveyYeung/FPNet-MindSpore.git

공식 코드

Frequency Perception Network for Camouflaged Object Detection

https://gitee.com/HarveyYeung/GLNet-TCYB2022-MindSpore.git

공식 코드

Global-and-Local Collaborative Learning for Co-Salient Object Detection

https://gitee.com/Lin-Qinwei/CIR-Net-MindSpore.git

공식 코드

CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection

https://gitee.com/wen--he/AMRSR

공식 코드

Attention-based Multi-Reference Learning for Image Super-Resolution

https://github.com/0zgur0/Seq_Scene_Gen

공식 코드

A Layer-Based Sequential Framework for Scene Generation with GANs

https://github.com/1170300714/w2n_wsod

공식 코드

W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection

https://github.com/1180301012/DPRoPE

공식 코드

Extending Context Window of Large Language Models from a Distributional Perspective

https://github.com/16337093/PnP-FSOD

공식 코드

Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference

https://github.com/1e12leon/uemm-air

공식 코드

UEMM-Air: A Synthetic Multi-modal Dataset for Unmanned Aerial Vehicle Object Detection

https://github.com/1j4j1230/fight_fire_with_fire

공식 코드

Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive Patches

https://github.com/1ssb/UOD

공식 코드

Believing is Seeing: Unobserved Object Detection using Generative Models

https://github.com/1wuming/WalnutData

공식 코드

WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation

https://github.com/2-Chae/A-NDFT

공식 코드

Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner

https://github.com/2771096196/RepAct

공식 코드

RepAct: The Re-parameterizable Adaptive Activation Function

https://github.com/2minkyulee/aesop-auto-encoded-supervision-for-perceptual-image-super-resolution

공식 코드

Auto-Encoded Supervision for Perceptual Image Super-Resolution

https://github.com/2minkyulee/eco

공식 코드

Noise-free Optimization in Early Training Steps for Image Super-Resolution

https://github.com/343gltysprk/ovow

공식 코드

From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects

https://github.com/360cvgroup/fg-clip

공식 코드

FG-CLIP: Fine-Grained Visual and Textual Alignment

https://github.com/3dlg-hcvc/NuiScene

공식 코드

NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes

https://github.com/3dperceptionlab/unrealrox

공식 코드

UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation

https://github.com/3dperceptionlab/unrealrox-plus

공식 코드

UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments

https://github.com/4dvlab/stcrowd

공식 코드

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

https://github.com/514flowey/jdet-cobb

공식 코드

Theoretically Achieving Continuous Representation of Oriented Bounding Boxes

https://github.com/51616/split-vae

공식 코드

An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection

https://github.com/5chen/mixnet

공식 코드

MixNet: Efficient Global Modeling for Ultra-High-Definition Image Restoration

https://github.com/6zhc/decun

공식 코드

Deep, convergent, unrolled half-quadratic splitting for image deconvolution

https://github.com/7eu7d7/robustdet

공식 코드

Adversarially-Aware Robust Object Detector

https://github.com/AHupuJR/EFNet

공식 코드

Event-Based Fusion for Motion Deblurring with Cross-modal Attention

https://github.com/AIROTAU/TexLiDAR

공식 코드

TexLiDAR: Automated Text Understanding for Panoramic LiDAR Data

https://github.com/AIS-Bonn/stillleben

공식 코드

Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics

https://github.com/AIS-Clemson/FLAME_SD

공식 코드

FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion

https://github.com/AMD-AIG-AIMA/DoSSR

공식 코드

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs

https://github.com/ARM-software/sesr

공식 코드

Collapsible Linear Blocks for Super-Efficient Super Resolution

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