🏆 Official InsPyReNet

Revisiting Image Pyramid Structure for High Resolution Salient Object Detection

ACCV 2022 • Official PyTorch Implementation

Authors: Taehun Kim, Kunhee Kim, Joonyeong Lee, Dongmin Cha, Jiho Lee, Daijin Kim

✅ Official InsPyReNet Ready! The transparent-background package is loaded.
💡 Supported formats: JPG, PNG, JPEG
📏 Recommended: High-resolution images for best results
⚡ Model: Official InsPyReNet base model
🏗️

Official Implementation

Direct from the ACCV 2022 paper authors. This is the exact same model used in their research, not a recreation.

🎯

High Resolution Focus

Specifically designed for high-resolution salient object detection with pyramid structure optimization.

🔬

Research Grade Quality

State-of-the-art performance on multiple SOD benchmarks including UHRSD, HRSOD, and DIS5K datasets.

📜 About This Official Implementation

This application uses the transparent-background package, which is the official PyPI distribution of InsPyReNet created by the original research team. It provides the complete model architecture with pre-trained weights exactly as used in the ACCV 2022 paper.

🏆 Official Model
Exact implementation from paper
📚 ACCV 2022
Published at top-tier conference
🎯 High-Res SOD
Optimized for HR images
🆓 Open Source
Free for research & commercial