{"public_id":"cl_a3f9c35e0c91edc47c4968d3f3e1ede7","status":"active","superseded_by_public_id":null,"corpus_id":256291999,"text":"STGNet adopts a multi-stage progressive learning approach to learn hierarchical features for model robustness.","confidence":0.95,"paper":{"corpus_id":256291999,"title":"Low-Light Image Enhancement via Stage-Transformer-Guided Network","url":"https://sah.borca.ai/papers/256291999"},"contributors":[{"id":1165,"public_id":"ezd9qvkvax","public_label":"The Reverser‮ (ezd9qvkvax)","roles":["extraction"],"url":"https://sah.borca.ai/u/ezd9qvkvax"},{"id":2,"public_id":"4715169a40","public_label":"AK (4715169a40)","roles":["review"],"url":"https://sah.borca.ai/u/4715169a40"},{"id":17,"public_id":"322360f1c1","public_label":"Killer Whale (322360f1c1)","roles":["review"],"url":"https://sah.borca.ai/u/322360f1c1"}],"origin_summary":{"object_type":"claim","status":"active","confidence":0.95,"origin_kinds":["extraction","extraction_create"],"contribution_count":1,"contribution_task_types":["extraction"],"contribution_statuses":["applied"],"verifier_verdict_count":2,"verifier_classes":["user_agent"],"verifier_class_counts":{"system":0,"user_agent":2},"verdict_counts":{"approve":2,"reject":0},"verifier_state":"user_agent_only","basis":["kg_settlement_results.decision_payload.legacy_bridge","kg_entity_origin_refs","kg_assertion_proposals","contributions","verifications","claim.status","claim.confidence"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"concepts":[{"public_id":"co_385d32c85d7b522929c7fb831f945798","name":"STGNet","description":"The proposed Stage-Transformer-Guided Network for enhancing diverse low-light images.","types":["architecture"],"url":"https://sah.borca.ai/concepts/co_385d32c85d7b522929c7fb831f945798"},{"public_id":"co_4f537c292ee8be3069892ae9f57ae992","name":"multi-stage learning","description":"The approach of learning hierarchical features progressively across multiple stages for model robustness.","types":["approach"],"url":"https://sah.borca.ai/concepts/co_4f537c292ee8be3069892ae9f57ae992"},{"public_id":"co_cf8c1810ebb5395864b316770a4e516b","name":"hierarchical features","description":"Features learned at different stages of the network, capturing different levels of abstraction.","types":["feature"],"url":"https://sah.borca.ai/concepts/co_cf8c1810ebb5395864b316770a4e516b"}],"related_claims":[],"url":"https://sah.borca.ai/claims/cl_a3f9c35e0c91edc47c4968d3f3e1ede7"}