conftrace_
← Architectures
Deep Learning › Architectures ›

Transformers

9,294 papers

Papers per year

Papers

LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model CVPR 2024
Condition-Aware Neural Network for Controlled Image Generation CVPR 2024
Looking 3D: Anomaly Detection with 2D-3D Alignment CVPR 2024
Adapting Short-Term Transformers for Action Detection in Untrimmed Videos CVPR 2024
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation CVPR 2024
TransLoc4D: Transformer-based 4D Radar Place Recognition CVPR 2024
Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-stage Action Localization CVPR 2024
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action CVPR 2024
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary CVPR 2024
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery CVPR 2024
CFAT: Unleashing Triangular Windows for Image Super-resolution CVPR 2024
PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds CVPR 2024
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network CVPR 2024
End-to-End Spatio-Temporal Action Localisation with Video Transformers CVPR 2024
End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames CVPR 2024
S2MAE: A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data CVPR 2024
EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting CVPR 2024
Fair-VPT: Fair Visual Prompt Tuning for Image Classification CVPR 2024
ODIN: A Single Model for 2D and 3D Segmentation CVPR 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer CVPR 2024
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning CVPR 2024
Anisotropy Is Inherent to Self-Attention in Transformers EACL 2024
Quantifying the Hyperparameter Sensitivity of Neural Networks for Character-level Sequence-to-Sequence Tasks EACL 2024
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations EACL 2024
Automated Cognate Detection as a Supervised Link Prediction Task with Cognate Transformer EACL 2024