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Methods/Deformable Convolution

Deformable Convolution

Computer VisionIntroduced 2000152 papers
Source Paper

Description

Deformable convolutions add 2D offsets to the regular grid sampling locations in the standard convolution. It enables free form deformation of the sampling grid. The offsets are learned from the preceding feature maps, via additional convolutional layers. Thus, the deformation is conditioned on the input features in a local, dense, and adaptive manner.

Papers Using This Method

MobileHolo: A Lightweight Complex-Valued Deformable CNN for High-Quality Computer-Generated Hologram2025-06-17Detection of Underwater Multi-Targets Based on Self-Supervised Learning and Deformable Path Aggregation Feature Pyramid Network2025-05-21DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis2025-05-14An Appearance Defect Detection Method for Cigarettes Based on C-CenterNet2025-02-10Low Resource Video Super-resolution using Memory and Residual Deformable Convolutions2025-02-03DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory Prediction2025-01-16A Universal Scale-Adaptive Deformable Transformer for Image Restoration across Diverse Artifacts2025-01-01Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA2024-12-18Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model2024-11-06FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution2024-10-30KaLDeX: Kalman Filter based Linear Deformable Cross Attention for Retina Vessel Segmentation2024-10-28Mixture of Scale Experts for Alignment-free RGBT Video Object Detection and A Unified Benchmark2024-10-16Optimizing Medical Image Segmentation with Advanced Decoder Design2024-10-05HRVMamba: High-Resolution Visual State Space Model for Dense Prediction2024-10-04GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer2024-10-01BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow2024-09-21KLDD: Kalman Filter based Linear Deformable Diffusion Model in Retinal Image Segmentation2024-09-19DDNet: Deformable Convolution and Dense FPN for Surface Defect Detection in Recycled Books2024-09-08MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering2024-08-21U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising Training2024-08-11