https://github.com/CVBase-Bupt/EndtoEndCroppingSystem
공식 코드An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Image Cropping is a common photo manipulation process, which improves the overall composition by removing unwanted regions. Image Cropping is widely used in photographic, film processing, graphic design, and printing businesses.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
Mask Editor : an Image Annotation Tool for Image Segmentation Tasks
Reliable and Efficient Image Cropping: A Grid Anchor based Approach
Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model
IDA: Improved Data Augmentation Applied to Salient Object Detection
Human-centric Image Cropping with Partition-aware and Content-preserving Features
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs
ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection
Understanding the Dependence of Perception Model Competency on Regions in an Image
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Spatial-Semantic Collaborative Cropping for User Generated Content
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study
Learning to Compose with Professional Photographs on the Web
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.