{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:36Z","timestamp":1750220316409,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,8]],"date-time":"2022-01-08T00:00:00Z","timestamp":1641600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,8]]},"DOI":"10.1145\/3493700.3493741","type":"proceedings-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T23:54:21Z","timestamp":1641599661000},"page":"280-281","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Developing Better Object Detectors for Real-World Use"],"prefix":"10.1145","author":[{"given":"Akshay","family":"Gupta","sequence":"first","affiliation":[{"name":"Computer Science and Engineering, Indian Institute of Technology Kanpur, IN"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Biplav","family":"Srivastava","sequence":"additional","affiliation":[{"name":"AI Institute, University of South Carolina, US"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Amir\u00a0Zamir et al.2018. Taskonomy: Disentangling Task Transfer Learning. arxiv:1804.08328\u00a0[cs.CV]","DOI":"10.1109\/CVPR.2018.00391"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40994-3_25"},{"key":"e_1_3_2_1_3_1","unstructured":"Barret\u00a0Zoph et al.2019. Learning Data Augmentation Strategies for Object Detection. arxiv:1906.11172\u00a0[cs.CV]"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","unstructured":"Glenn\u00a0Jocher et al.2021. ultralytics\/yolov5: v4.0 - nn.SiLU() activations Weights & Biases logging PyTorch Hub integration. https:\/\/doi.org\/10.5281\/zenodo.4418161","DOI":"10.5281\/zenodo.4418161"},{"key":"e_1_3_2_1_5_1","unstructured":"Kaiming\u00a0He et al.2015. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification. arxiv:1502.01852\u00a0[cs.CV]"},{"key":"e_1_3_2_1_6_1","unstructured":"Pieter-Jan\u00a0Kindermans et al.2017. The (Un)reliability of saliency methods. arxiv:1711.00867\u00a0[stat.ML]"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Ruth Fong Mandela Patrick and Andrea Vedaldi. 2019. Understanding Deep Networks via Extremal Perturbations and Smooth Masks. arxiv:1910.08485\u00a0[cs.CV]","DOI":"10.1109\/ICCV.2019.00304"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"key":"e_1_3_2_1_10_1","volume-title":"RISE: Randomized Input Sampling for Explanation of Black-box Models. arxiv:1806.07421\u00a0[cs.CV]","author":"Petsiuk Vitali","year":"2018","unstructured":"Vitali Petsiuk, Abir Das, and Kate Saenko. 2018. RISE: Randomized Input Sampling for Explanation of Black-box Models. arxiv:1806.07421\u00a0[cs.CV]"},{"key":"e_1_3_2_1_11_1","unstructured":"Matthew\u00a0D Zeiler and Rob Fergus. 2013. Visualizing and Understanding Convolutional Networks. arxiv:1311.2901\u00a0[cs.CV]"}],"event":{"name":"CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Bangalore India","acronym":"CODS-COMAD 2022"},"container-title":["Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493741","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3493700.3493741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:11:51Z","timestamp":1750191111000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493741"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,8]]},"references-count":11,"alternative-id":["10.1145\/3493700.3493741","10.1145\/3493700"],"URL":"https:\/\/doi.org\/10.1145\/3493700.3493741","relation":{},"subject":[],"published":{"date-parts":[[2022,1,8]]},"assertion":[{"value":"2022-01-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}