{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:42SY3I27WCYUGFAATLIUZBWP3M","short_pith_number":"pith:42SY3I27","schema_version":"1.0","canonical_sha256":"e6a58da35fb0b14314009ad14c86cfdb306819c3bbc80a0777da7e950cbef14a","source":{"kind":"arxiv","id":"1708.03979","version":3},"attestation_state":"computed","paper":{"title":"SSH: Single Stage Headless Face Detector","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Larry Davis, Mahyar Najibi, Pouya Samangouei, Rama Chellappa","submitted_at":"2017-08-14T01:12:24Z","abstract_excerpt":"We introduce the Single Stage Headless (SSH) face detector. Unlike two stage proposal-classification detectors, SSH detects faces in a single stage directly from the early convolutional layers in a classification network. SSH is headless. That is, it is able to achieve state-of-the-art results while removing the \"head\" of its underlying classification network -- i.e. all fully connected layers in the VGG-16 which contains a large number of parameters. Additionally, instead of relying on an image pyramid to detect faces with various scales, SSH is scale-invariant by design. We simultaneously de"},"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":"1708.03979","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-14T01:12:24Z","cross_cats_sorted":[],"title_canon_sha256":"857eb12463a449157dda139b667a370f91150c8ba58e8619d75a320c01419479","abstract_canon_sha256":"cf1fdc73140d23dd370817f90980d09cca5ee4d5bc6e7b8d2cb652f53ffdcd6f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:32:35.961413Z","signature_b64":"D7X7nVM2V3cUlhAmG8dsB6p3yaVMDSSoZ1I8ck6O/KL/o7TnTaZNUxuYNen7rJP5GHA61yUBFaNl0UQy9bdNCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6a58da35fb0b14314009ad14c86cfdb306819c3bbc80a0777da7e950cbef14a","last_reissued_at":"2026-05-18T00:32:35.960713Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:32:35.960713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SSH: Single Stage Headless Face Detector","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Larry Davis, Mahyar Najibi, Pouya Samangouei, Rama Chellappa","submitted_at":"2017-08-14T01:12:24Z","abstract_excerpt":"We introduce the Single Stage Headless (SSH) face detector. Unlike two stage proposal-classification detectors, SSH detects faces in a single stage directly from the early convolutional layers in a classification network. SSH is headless. That is, it is able to achieve state-of-the-art results while removing the \"head\" of its underlying classification network -- i.e. all fully connected layers in the VGG-16 which contains a large number of parameters. Additionally, instead of relying on an image pyramid to detect faces with various scales, SSH is scale-invariant by design. We simultaneously de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.03979","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1708.03979","created_at":"2026-05-18T00:32:35.960814+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.03979v3","created_at":"2026-05-18T00:32:35.960814+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.03979","created_at":"2026-05-18T00:32:35.960814+00:00"},{"alias_kind":"pith_short_12","alias_value":"42SY3I27WCYU","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_16","alias_value":"42SY3I27WCYUGFAA","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_8","alias_value":"42SY3I27","created_at":"2026-05-18T12:30:58.224056+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1909.02477","citing_title":"AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy","ref_index":28,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M","json":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M.json","graph_json":"https://pith.science/api/pith-number/42SY3I27WCYUGFAATLIUZBWP3M/graph.json","events_json":"https://pith.science/api/pith-number/42SY3I27WCYUGFAATLIUZBWP3M/events.json","paper":"https://pith.science/paper/42SY3I27"},"agent_actions":{"view_html":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M","download_json":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M.json","view_paper":"https://pith.science/paper/42SY3I27","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.03979&json=true","fetch_graph":"https://pith.science/api/pith-number/42SY3I27WCYUGFAATLIUZBWP3M/graph.json","fetch_events":"https://pith.science/api/pith-number/42SY3I27WCYUGFAATLIUZBWP3M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M/action/storage_attestation","attest_author":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M/action/author_attestation","sign_citation":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M/action/citation_signature","submit_replication":"https://pith.science/pith/42SY3I27WCYUGFAATLIUZBWP3M/action/replication_record"}},"created_at":"2026-05-18T00:32:35.960814+00:00","updated_at":"2026-05-18T00:32:35.960814+00:00"}