Spatial Relation Recognition
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Benchmarks
Rel3D
Most implemented
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
Papers
SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models
Visual Foundation Models (VFMs), such as DINO and CLIP, excel in semantic understanding of images but exhibit limited spatial reasoning capabilities, which limits their applicability to embodied systems. As a result, rec…
Spatial Relation RecognitionSpatial ReasoningDepth EstimationMMR: Evaluating Reading Ability of Large Multimodal Models
Large multimodal models (LMMs) have demonstrated impressive capabilities in understanding various types of image, including text-rich images. Most existing text-rich image benchmarks are simple extraction-based question …
Font RecognitionMMR totalOptical Character Recognition (OCR)Question Answering+2Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
Understanding spatial relations (e.g., "laptop on table") in visual input is important for both humans and robots. Existing datasets are insufficient as they lack large-scale, high-quality 3D ground truth information, wh…
RelationSpatial Relation RecognitionA Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions
Recent models achieve promising results in visually grounded dialogues. However, existing datasets often contain undesirable biases and lack sophisticated linguistic analyses, which make it difficult to understand how we…
Coreference ResolutionNatural Language Visual GroundingSpatial Relation RecognitionLearning Object Placements For Relational Instructions by Hallucinating Scene Representations
Robots coexisting with humans in their environment and performing services for them need the ability to interact with them. One particular requirement for such robots is that they are able to understand spatial relations…
Auxiliary LearningRobotic GraspingScene GenerationSpatial Relation RecognitionSpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
Understanding the spatial relations between objects in images is a surprisingly challenging task. A chair may be "behind" a person even if it appears to the left of the person in the image (depending on which way the per…
BenchmarkingRelationSpatial ReasoningSpatial Relation Recognition