SOTAVerified

Long-range modeling

A new task for testing the long-sequence modeling capabilities and efficiency of language models.

Image credit: SCROLLS: Standardized CompaRison Over Long Language Sequences

Papers

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Showing 51–60 of 95 papers

TitleStatusHype
V4D:4D Convolutional Neural Networks for Video-level Representation LearningCode1
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM PretrainingCode1
Weakly Supervised Object Localization via Transformer with Implicit Spatial CalibrationCode1
What Makes Convolutional Models Great on Long Sequence Modeling?Code1
AICT: An Adaptive Image Compression Transformer—0
MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking—0
Exploring Historical Information for RGBE Visual Tracking with Mamba—0
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model—0
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions—0
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