Popular GitHub Repositories for Learnable Resizing

PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

Auto masking and inpainting for person, face, hand. Resizing image using detection model.

AutoNode: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

AI Super - Resolution

[CVPR 2024] Official code for "Text-Driven Image Editing via Learnable Regions"

Neural Code Comprehension: A Learnable Representation of Code Semantics

Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"

Soft Threshold Weight Reparameterization for Learnable Sparsity

The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

Learnable Boundary Guided Adversarial Training (ICCV2021)

The Learnable Typewriter: A Generative Approach to Text Line Analysis

Learnable Embedding Space for Efficient Neural Architecture Compression

[SIGIR 2023 Oral] This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".

[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.