{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:5UIPU6JUSSTTPC45BJMZ7UZ744","short_pith_number":"pith:5UIPU6JU","schema_version":"1.0","canonical_sha256":"ed10fa793494a7378b9d0a599fd33fe712152d36a57ad0b59f3210c318f321b7","source":{"kind":"arxiv","id":"2012.09503","version":1},"attestation_state":"computed","paper":{"title":"Embodied Visual Active Learning for Semantic Segmentation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aleksis Pirinen, Cristian Sminchisescu, David Nilsson, Erik G\\\"artner","submitted_at":"2020-12-17T11:02:34Z","abstract_excerpt":"We study the task of embodied visual active learning, where an agent is set to explore a 3d environment with the goal to acquire visual scene understanding by actively selecting views for which to request annotation. While accurate on some benchmarks, today's deep visual recognition pipelines tend to not generalize well in certain real-world scenarios, or for unusual viewpoints. Robotic perception, in turn, requires the capability to refine the recognition capabilities for the conditions where the mobile system operates, including cluttered indoor environments or poor illumination. This motiva"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2012.09503","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-12-17T11:02:34Z","cross_cats_sorted":[],"title_canon_sha256":"e3c17dbb92f7e9612192a3581d13ee2f5ee4acb1151265cc71445f9cd119445e","abstract_canon_sha256":"a4f2d7b05136c0c7c8556abde6905474b21088b7fa8f5fe44ac60de858cc1af1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:00:17.912416Z","signature_b64":"kOtYc0EsE1QGUXlTlF8MVXrKegpPSU54R14hNcCnon09JE1Uc2KeWGHr5junGZ/2yporMqN5GZ2lzjkuFP9NAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed10fa793494a7378b9d0a599fd33fe712152d36a57ad0b59f3210c318f321b7","last_reissued_at":"2026-07-05T02:00:17.912061Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:00:17.912061Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Embodied Visual Active Learning for Semantic Segmentation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aleksis Pirinen, Cristian Sminchisescu, David Nilsson, Erik G\\\"artner","submitted_at":"2020-12-17T11:02:34Z","abstract_excerpt":"We study the task of embodied visual active learning, where an agent is set to explore a 3d environment with the goal to acquire visual scene understanding by actively selecting views for which to request annotation. While accurate on some benchmarks, today's deep visual recognition pipelines tend to not generalize well in certain real-world scenarios, or for unusual viewpoints. Robotic perception, in turn, requires the capability to refine the recognition capabilities for the conditions where the mobile system operates, including cluttered indoor environments or poor illumination. This motiva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.09503","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2012.09503/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2012.09503","created_at":"2026-07-05T02:00:17.912117+00:00"},{"alias_kind":"arxiv_version","alias_value":"2012.09503v1","created_at":"2026-07-05T02:00:17.912117+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.09503","created_at":"2026-07-05T02:00:17.912117+00:00"},{"alias_kind":"pith_short_12","alias_value":"5UIPU6JUSSTT","created_at":"2026-07-05T02:00:17.912117+00:00"},{"alias_kind":"pith_short_16","alias_value":"5UIPU6JUSSTTPC45","created_at":"2026-07-05T02:00:17.912117+00:00"},{"alias_kind":"pith_short_8","alias_value":"5UIPU6JU","created_at":"2026-07-05T02:00:17.912117+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744","json":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744.json","graph_json":"https://pith.science/api/pith-number/5UIPU6JUSSTTPC45BJMZ7UZ744/graph.json","events_json":"https://pith.science/api/pith-number/5UIPU6JUSSTTPC45BJMZ7UZ744/events.json","paper":"https://pith.science/paper/5UIPU6JU"},"agent_actions":{"view_html":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744","download_json":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744.json","view_paper":"https://pith.science/paper/5UIPU6JU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2012.09503&json=true","fetch_graph":"https://pith.science/api/pith-number/5UIPU6JUSSTTPC45BJMZ7UZ744/graph.json","fetch_events":"https://pith.science/api/pith-number/5UIPU6JUSSTTPC45BJMZ7UZ744/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744/action/storage_attestation","attest_author":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744/action/author_attestation","sign_citation":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744/action/citation_signature","submit_replication":"https://pith.science/pith/5UIPU6JUSSTTPC45BJMZ7UZ744/action/replication_record"}},"created_at":"2026-07-05T02:00:17.912117+00:00","updated_at":"2026-07-05T02:00:17.912117+00:00"}