conftrace_

feature transformation

53 papers

Explore in graph

Co-occurring keywords

convolutional neural network (4226) domain adaptation (4595) few-shot learning (3398) transfer learning (5449) semantic segmentation (3186) image classification (1944) recurrent neural network (1790) depth estimation (1542) attention mechanism (4001) representation learning (6206)

Papers

Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration AAAI 2026
What Can We Learn From MIMO Graph Convolutions? IJCAI 2025
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming IJCAI 2025
Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features CVPR 2025
Evolutionary Large Language Model for Automated Feature Transformation AAAI 2025
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection AAAI 2025
Mean-Shift Feature Transformer CVPR 2024
Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024
Correlation Matching Transformation Transformers for UHD Image Restoration AAAI 2024
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation IJCAI 2024
CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning CVPR 2023
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View ICCV 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions NIPS 2023
SemFORMS: Automatic Generation of Semantic Transforms By Mining Data Science Code IJCAI 2023
Line Search-Based Feature Transformation for Fast, Stable, and Tunable Content-Style Control in Photorealistic Style Transfer WACV 2023
Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation ICCV 2023
Convolution of Convolution: Let Kernels Spatially Collaborate CVPR 2022
Orthogonal Graph Neural Networks AAAI 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid NIPS 2022
Exploiting Invariance in Training Deep Neural Networks AAAI 2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation CVPR 2022
Channel Importance Matters in Few-Shot Image Classification ICML 2022
Full-Range Virtual Try-On With Recurrent Tri-Level Transform CVPR 2022
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections CVPR 2021