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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/shlokk/hcl

공식 코드

Hyperbolic Contrastive Learning for Visual Representations beyond Objects

https://github.com/shlokk/object-cropping-ssl

공식 코드

Object-Aware Cropping for Self-Supervised Learning

https://github.com/shngjz/wildcamera

공식 코드

Tame a Wild Camera: In-the-Wild Monocular Camera Calibration

https://github.com/shoufachen/diffusiondet

공식 코드

DiffusionDet: Diffusion Model for Object Detection

https://github.com/shoumikchow/statement-network-NeurIPS2018

공식 코드

Statement networks: a power structure narrative as depicted by newspapers

https://github.com/shouvikmani/edge-colorizer

공식 코드

Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring

https://github.com/showlab/PhotoDoodle

공식 코드

PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data

https://github.com/showlab/Tune-A-Video

공식 코드

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

https://github.com/showlab/efficient-cls

공식 코드

Label-Efficient Online Continual Object Detection in Streaming Video

https://github.com/showlab/omniconsistency

공식 코드

OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data

https://github.com/shreyasrajesh/DA-Object-Detection

공식 코드

Domain Adaptation for Object Detection using SE Adaptors and Center Loss

https://github.com/shreyvish5678/SR-NeRF-with-Variational-Diffusion-Strategies

공식 코드

Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies

https://github.com/shreyvish5678/advancing-super-resolution-in-neural-radiance-fields-via-variational-diffusion-strategies

공식 코드

Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies

https://github.com/shrimai/Style-Transfer-Through-Back-Translation

공식 코드

Style Transfer Through Back-Translation

https://github.com/shrutarv/mtevent_toolkit

공식 코드

MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection

https://github.com/shs910/psst

공식 코드

PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer

https://github.com/shs910/tsst

공식 코드

PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer

https://github.com/shuaizhao95/Unlearning

공식 코드

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

https://github.com/shubha07m/On-device-computer-vision-experiments-with-IoT

공식 코드

MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO

https://github.com/shubhamagarwal12/warlearn

공식 코드

WARLearn: Weather-Adaptive Representation Learning

https://github.com/shubhendu-jena/neural-mesh-based-graphics

공식 코드

Neural Mesh-Based Graphics

https://github.com/shuchiwu/eminspector

공식 코드

EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection

https://github.com/shuyanzhou/wikihow_hierarchy

공식 코드

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data

https://github.com/shuyonggao/psod

공식 코드

Weakly-Supervised Salient Object Detection Using Point Supervision

https://github.com/shwetabhardwaj44/RecoveringFrom_RandomPruning_WACV2018

공식 코드

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks

https://github.com/shyam671/mask2anomaly-unmasking-anomalies-in-road-scene-segmentation

공식 코드

Unmasking Anomalies in Road-Scene Segmentation

https://github.com/shymuel/diff-cleanse

공식 코드

Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models

https://github.com/siddiquemu/sct_mcta

공식 코드

Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints

https://github.com/sidiangongyuan/acco

공식 코드

Is Discretization Fusion All You Need for Collaborative Perception?

https://github.com/sigma10010/nuclei_cells_det

공식 코드

SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images

https://github.com/sigmalabresearch/visnotate

공식 코드

On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks

https://github.com/silence-tang/artnerf

공식 코드

ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis

https://github.com/silky1708/local-style-transfer

공식 코드

LEAST: "Local" text-conditioned image style transfer

https://github.com/silvia1993/HyMOS

공식 코드

Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation

https://github.com/simon-lepage/condvit-lrvsf

공식 코드

LRVS-Fashion: Extending Visual Search with Referring Instructions

https://github.com/simonklind/nf-gradients

공식 코드

Making the Flow Glow -- Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients

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