{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:4ABOG47XDFAFFN4T7O6MWIZOL3","short_pith_number":"pith:4ABOG47X","schema_version":"1.0","canonical_sha256":"e002e373f7194052b793fbbccb232e5ec6b50c63c56714d778392697a19714d3","source":{"kind":"arxiv","id":"2203.14308","version":2},"attestation_state":"computed","paper":{"title":"Temporal Transductive Inference for Few-Shot Video Object Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Konstantinos G. Derpanis, Mennatullah Siam, Richard P. Wildes","submitted_at":"2022-03-27T14:08:30Z","abstract_excerpt":"Few-shot video object segmentation (FS-VOS) aims at segmenting video frames using a few labelled examples of classes not seen during initial training. In this paper, we present a simple but effective temporal transductive inference (TTI) approach that leverages temporal consistency in the unlabelled video frames during few-shot inference. Key to our approach is the use of both global and local temporal constraints. The objective of the global constraint is to learn consistent linear classifiers for novel classes across the image sequence, whereas the local constraint enforces the proportion of"},"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":"2203.14308","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-27T14:08:30Z","cross_cats_sorted":[],"title_canon_sha256":"c2a0eb80d293326f93cb2c02a8fac663d3243246e629783e0bded53585f52732","abstract_canon_sha256":"2a8a8eaa06dc7971081ba189cb8ecac3d15fbbb18b17197895282e810bef9463"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T01:14:54.750048Z","signature_b64":"hOUU4iig/anQBSEl1pG48k8j4j5oV076Slwfv5QeN6+2zs0r4UH+rsV5pFCKZME8SpW+Sd3ReG/0ivWmVN5lAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e002e373f7194052b793fbbccb232e5ec6b50c63c56714d778392697a19714d3","last_reissued_at":"2026-06-24T01:14:54.749706Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T01:14:54.749706Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Temporal Transductive Inference for Few-Shot Video Object Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Konstantinos G. Derpanis, Mennatullah Siam, Richard P. Wildes","submitted_at":"2022-03-27T14:08:30Z","abstract_excerpt":"Few-shot video object segmentation (FS-VOS) aims at segmenting video frames using a few labelled examples of classes not seen during initial training. In this paper, we present a simple but effective temporal transductive inference (TTI) approach that leverages temporal consistency in the unlabelled video frames during few-shot inference. Key to our approach is the use of both global and local temporal constraints. The objective of the global constraint is to learn consistent linear classifiers for novel classes across the image sequence, whereas the local constraint enforces the proportion of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14308","kind":"arxiv","version":2},"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/2203.14308/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":"2203.14308","created_at":"2026-06-24T01:14:54.749764+00:00"},{"alias_kind":"arxiv_version","alias_value":"2203.14308v2","created_at":"2026-06-24T01:14:54.749764+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14308","created_at":"2026-06-24T01:14:54.749764+00:00"},{"alias_kind":"pith_short_12","alias_value":"4ABOG47XDFAF","created_at":"2026-06-24T01:14:54.749764+00:00"},{"alias_kind":"pith_short_16","alias_value":"4ABOG47XDFAFFN4T","created_at":"2026-06-24T01:14:54.749764+00:00"},{"alias_kind":"pith_short_8","alias_value":"4ABOG47X","created_at":"2026-06-24T01:14:54.749764+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/4ABOG47XDFAFFN4T7O6MWIZOL3","json":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3.json","graph_json":"https://pith.science/api/pith-number/4ABOG47XDFAFFN4T7O6MWIZOL3/graph.json","events_json":"https://pith.science/api/pith-number/4ABOG47XDFAFFN4T7O6MWIZOL3/events.json","paper":"https://pith.science/paper/4ABOG47X"},"agent_actions":{"view_html":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3","download_json":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3.json","view_paper":"https://pith.science/paper/4ABOG47X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2203.14308&json=true","fetch_graph":"https://pith.science/api/pith-number/4ABOG47XDFAFFN4T7O6MWIZOL3/graph.json","fetch_events":"https://pith.science/api/pith-number/4ABOG47XDFAFFN4T7O6MWIZOL3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3/action/storage_attestation","attest_author":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3/action/author_attestation","sign_citation":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3/action/citation_signature","submit_replication":"https://pith.science/pith/4ABOG47XDFAFFN4T7O6MWIZOL3/action/replication_record"}},"created_at":"2026-06-24T01:14:54.749764+00:00","updated_at":"2026-06-24T01:14:54.749764+00:00"}