# Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos Source: [Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery Videos]() Collection index: [llms.txt]() Data updated: 2026-01-02T03:16:08.138Z Authors: Jay N. Paranjape, Shameema Sikder, Vishal M. Patel, S. Swaroop Vedula Published: 2023-07-31T18:14:18.000Z ## Abstract Surgical tool presence detection is an important part of the intra-operative and post-operative analysis of a surgery. State-of-the-art models, which perform this task well on a particular dataset, however, perform poorly when tested on another dataset. This occurs due to a significant domain shift between the datasets resulting from the use of different tools, sensors, data resolution etc. In this paper, we highlight this domain shift in the commonly performed cataract surgery and propose a novel end-to-end Unsupervised Domain Adaptation (UDA) method called the Barlow Adaptor that addresses the problem of distribution shift without requiring any labels from another domain. In addition, we introduce a novel loss called the Barlow Feature Alignment Loss (BFAL) which aligns features across different domains while reducing redundancy and the need for higher batch sizes, thus improving cross-dataset performance. The use of BFAL is a novel approach to address the challenge of domain shift in cataract surgery data. Extensive experiments are conducted on two cataract surgery datasets and it is shown that the proposed method outperforms the state-of-the-art UDA methods by 6%. The code can be found at https://github.com/JayParanjape/Barlow-Adaptor ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. - [Surgical Tool Classification on D99 to CATARACTS (CAT) (cross-domain)](): Surgical Tool Classification; D99 to CATARACTS (CAT) (cross-domain); Macro Accuracy: 35.1. - [Surgical Tool Classification on CATARACTS cross-domain to D99](): Surgical Tool Classification; CATARACTS cross-domain to D99; Macro Accuracy: 24.62. ## Original sources and implementation [Original paper]() [PDF]() [Implementation]()