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TextVQA

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Showing 26–47 of 47 papers

TitleStatusHype
Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal CluesCode0
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction OptimizationCode0
InstructOCR: Instruction Boosting Scene Text SpottingCode0
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model—0
Analysing the Robustness of Vision-Language-Models to Common Corruptions—0
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs—0
EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model—0
Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy—0
EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models—0
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA—0
FlexAttention for Efficient High-Resolution Vision-Language Models—0
Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture—0
HyViLM: Enhancing Fine-Grained Recognition with a Hybrid Encoder for Vision-Language Models—0
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA—0
Making the V in Text-VQA Matter—0
Multiple-Question Multiple-Answer Text-VQA—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
Sentence Attention Blocks for Answer Grounding—0
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text—0
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance—0
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering—0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
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