Instrument Recognition
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Benchmarks
Most implemented
ATST: Audio Representation Learning with Teacher-Student Transformer
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
Efficient Training of Audio Transformers with Patchout
A Hierarchical Deep Learning Approach for Minority Instrument Detection
Papers
Lost in Motion: Vision Language Models Fail the Dynamic Gauges Test
The digital transformation of industrial manufacturing increasingly relies on the ability of autonomous robots to interact with legacy infrastructure, particularly analog gauges. Vision-Language Models (VLMs) have the po…
Instrument RecognitionEvaluating Large Vision-language Models for Surgical Tool Detection
Surgery is a highly complex process, and artificial intelligence has emerged as a transformative force in supporting surgical guidance and decision-making. However, the unimodal nature of most current AI systems limits t…
Zero-shot GeneralizationSurgical tool detectionInstrument RecognitionVideo Dataset for Surgical Phase, Keypoint, and Instrument Recognition in Laparoscopic Surgery (PhaKIR)
Robotic- and computer-assisted minimally invasive surgery (RAMIS) is increasingly relying on computer vision methods for reliable instrument recognition and surgical workflow understanding. Developing such systems often …
Surgical phase recognitionInstrument RecognitionInstance SegmentationScene UnderstandingPersian Musical Instruments Classification Using Polyphonic Data Augmentation
Musical instrument classification is essential for music information retrieval (MIR) and generative music systems. However, research on non-Western traditions, particularly Persian music, remains limited. We address this…
Instrument RecognitionInformation RetrievalData AugmentationMusic GenerationIdentifying Surgical Instruments in Laparoscopy Using Deep Learning Instance Segmentation
Recorded videos from surgeries have become an increasingly important information source for the field of medical endoscopy, since the recorded footage shows every single detail of the surgery. However, while video record…
Instrument RecognitionInstance SegmentationComparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minimally invasive surgery (RAMIS), including…
Surgical phase recognitionInstrument RecognitionInstance SegmentationScene Understanding