Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T08:08:43.995718Z
Paper Citation Record · LEDGER
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
As of 13 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2506.23104.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact13
- verified fuzzy49
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cd5cbf89-a183-4dfe-91c6-eb5e799aee56 · outbound
This paper cites Interactive graph cuts for optimal boundary & region segmentation of objects in nd images.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Interactive graph cuts for optimal boundary & region segmentation of objects in nd images
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.390252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ec7ff945-4740-40e8-a2f6-74fead0c4ccd · outbound
This paper cites Contrastive test-time adaptation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Contrastive test-time adaptation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.382645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 990ee605-6622-4de2-ac58-a6271b484312 · outbound
This paper cites Focalclick: Towards prac- tical interactive image segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Focalclick: Towards prac- tical interactive image segmentation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.394077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dfbbc645-db30-4f97-b798-0ea8d8495d89 · outbound
This paper cites SAM-Med2D.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation SAM-Med2D
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.668250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 396c053b-dfe5-4e02-9277-974dc554f5d8 · outbound
This paper cites To adapt or not to adapt? real- time adaptation for semantic segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation To adapt or not to adapt? real- time adaptation for semantic segmentation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.401624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6dcaacbb-178d-4862-bbc8-f8e6d5798d4f · outbound
This paper cites Adaptive Stochastic Weight Averaging.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Adaptive Stochastic Weight Averaging
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.661602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9b3f058e-2fd5-43d0-b89d-81f72f9d2a79 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:12:10.654580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 95989506-f19b-47c5-b175-cee217cabaf1 · outbound
This paper cites The pascal visual object classes (voc) challenge.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation The pascal visual object classes (voc) challenge
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.386412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4f12c4e4-ae95-4418-862f-e424feadcf9f · outbound
This paper cites Camouflaged object de- tection.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Camouflaged object de- tection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.397884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 51fffcb0-5dec-4135-881d-2c56918f7a77 · outbound
This paper cites Uncertainty reduction for model adaptation in semantic segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Uncertainty reduction for model adaptation in semantic segmentation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.221273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 267aed79-5ed8-4e35-9506-b9e57d03ee3c · outbound
This paper cites Getting to 99% Accuracy in Interactive Segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Getting to 99% Accuracy in Interactive Segmentation
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.607218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3b930bc8-7f5e-47ae-8e1e-690930b949b5 · outbound
This paper cites Random walks for image segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Random walks for image segmentation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.374572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 037d0adc-2fff-47f7-8be5-b28a0293f5a4 · outbound
This paper cites Geodesic star convexity for interactive image segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Geodesic star convexity for interactive image segmentation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.378637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7edf8bae-2cfc-4deb-888a-535c0d89e0c5 · outbound
This paper cites TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.620650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c49f8477-837d-4825-a025-182e5397aa49 · outbound
This paper cites Foc- sam: Delving deeply into focused objects in segmenting any- thing.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Foc- sam: Delving deeply into focused objects in segmenting any- thing
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.237525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6b4093d5-1908-4b4e-af5d-1cd4ae4ed9b0 · outbound
This paper cites Editing Models with Task Arithmetic.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Editing Models with Task Arithmetic
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:12:10.599628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 52c39562-ae6e-4303-97e6-acab8cf2ef11 · outbound
This paper cites Interactive image seg- mentation via backpropagating refinement scheme.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Interactive image seg- mentation via backpropagating refinement scheme
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.196809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e861845f-27cf-443a-addd-d64be5b5b0ce · outbound
This paper cites Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.642572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e90f73a8-4f0f-41d6-8dac-266fef8bb38a · outbound
This paper cites Segment any- thing.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Segment any- thing
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.230091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cb70195b-53c8-4305-af68-d2c8d81d3c9e · outbound
This paper cites Continuous adaptation for interactive ob- ject segmentation by learning from corrections.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Continuous adaptation for interactive ob- ject segmentation by learning from corrections
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.158601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 060c596d-5f5d-4cd1-b87b-d9cc62981b3e · outbound
This paper cites Anabranch network for camouflaged object segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Anabranch network for camouflaged object segmentation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.181844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1789d362-5c47-4e08-afda-dfcb02e4f79b · outbound
This paper cites Mfp: Mak- ing full use of probability maps for interactive image seg- mentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Mfp: Mak- ing full use of probability maps for interactive image seg- mentation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.189509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f2aa2775-3825-4504-8855-757e908fafd0 · outbound
This paper cites Interactive Learning for Semantic Segmentation in Earth Observation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Interactive Learning for Semantic Segmentation in Earth Observation
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.592830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f04f8ffd-9e1e-4f16-985d-defedb7ba768 · outbound
This paper cites Interactive image segmentation with latent diversity.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Interactive image segmentation with latent diversity
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.358068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dbe4a3e0-aae9-4d49-adea-f6511c55440b · outbound
This paper cites Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Do we really need to access the source data? source hypothesis transfer for un- supervised domain adaptation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.193164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cab7a67f-2c6a-48ab-ac3f-2fadfaac43d0 · outbound
This paper cites Regional interactive image segmentation net- works.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Regional interactive image segmentation net- works
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.178040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5c0e36de-d527-4a45-a0b4-47a5357e705e · outbound
This paper cites Microsoft coco: Common objects in context.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Microsoft coco: Common objects in context
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.209165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e716e8a9-8624-467d-b4fe-4ee8a073e696 · outbound
This paper cites Interactive image segmentation with first click attention.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Interactive image segmentation with first click attention
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.330721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c3e60eb0-ca09-4784-aa50-8e1f618becb3 · outbound
This paper cites Click prompt learning with optimal trans- port for interactive segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Click prompt learning with optimal trans- port for interactive segmentation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.322752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 28e32309-f24a-414c-bed7-007fd983ff18 · outbound
This paper cites Pseudoclick: Interactive image segmentation with click imi- tation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Pseudoclick: Interactive image segmentation with click imi- tation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.326611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1a2930e7-588d-4a7d-b717-df9597db3839 · outbound
This paper cites Simpleclick: Interactive image segmentation with sim- ple vision transformers.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Simpleclick: Interactive image segmentation with sim- ple vision transformers
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.234033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8c2462d5-7b47-4d7d-8a84-d95262f205ef · outbound
This paper cites Rethinking interactive image segmentation with low latency high quality and diverse prompts.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Rethinking interactive image segmentation with low latency high quality and diverse prompts
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.341083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3a075bc0-8857-4406-bc47-acabc2163206 · outbound
This paper cites Tangent Transformers for Composition, Privacy and Removal.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Tangent Transformers for Composition, Privacy and Removal
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.584891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e01b1ace-32bf-4553-8a77-870ee8b3e007 · outbound
This paper cites Decoupled Weight Decay Regularization.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Decoupled Weight Decay Regularization
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:12:10.574407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a19f75f8-9b45-4363-bf27-c1d61e6d6d4a · outbound
This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.167050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 88475b9e-76ad-41bf-b400-2d8d939c85df · outbound
This paper cites Towards stable test-time adaptation in dynamic wild world.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Towards stable test-time adaptation in dynamic wild world
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.318860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8b6fa25c-e1f7-4ea1-b924-26afad08e7a3 · outbound
This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Task arithmetic in the tangent space: Improved editing of pre-trained models
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.252267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ebd152cb-1da6-4e2e-b01e-5f66cd2018e8 · outbound
This paper cites Real-time, accurate, and consistent video semantic segmentation via unsupervised adaptation and cross-unit de- ployment on mobile device.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Real-time, accurate, and consistent video semantic segmentation via unsupervised adaptation and cross-unit de- ployment on mobile device
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.241129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 860165e1-fb20-49bc-8871-e32bf1237410 · outbound
This paper cites A benchmark dataset and evaluation methodology for video object segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation A benchmark dataset and evaluation methodology for video object segmentation
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.162999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1ca4b2c3-27b0-424b-a740-92dc389300cc · outbound
This paper cites ” grabcut” interactive foreground extraction using iterated graph cuts.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation ” grabcut” interactive foreground extraction using iterated graph cuts
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.170827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e00c382c-d0d4-419d-a18f-72aae9faf7aa · outbound
This paper cites Adapting the segment anything model during usage in novel situations.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Adapting the segment anything model during usage in novel situations
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.204291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 454334f3-0436-4776-b4fd-3fa13311e44e · outbound
This paper cites f-brs: Rethinking backpropagating refinement for interactive segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation f-brs: Rethinking backpropagating refinement for interactive segmentation
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.248589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f031db5b-6ca5-4a4e-bbe2-802d7b2f477b · outbound
This paper cites f-brs: Rethinking backpropagating refinement for interactive segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation f-brs: Rethinking backpropagating refinement for interactive segmentation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.262343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d74c1076-be74-4fc9-98b0-b8463f8f5be4 · outbound
This paper cites Re- viving iterative training with mask guidance for interactive segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Re- viving iterative training with mask guidance for interactive segmentation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.185489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 63b439b9-d8c4-48d7-b43d-7d59c2b073f4 · outbound
This paper cites Cfr-icl: Cascade-forward refinement with iterative click loss for interactive image segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Cfr-icl: Cascade-forward refinement with iterative click loss for interactive image segmentation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.362510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9d8644af-67e8-49d8-8358-3694bd5ee715 · outbound
This paper cites Parameter Efficient Multi-task Model Fusion with Partial Linearization.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Parameter Efficient Multi-task Model Fusion with Partial Linearization
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:12:10.635497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 710a2f43-c127-4185-a4e7-f532538636e7 · outbound
This paper cites Tesla: Test-time self-learning with automatic adversarial augmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Tesla: Test-time self-learning with automatic adversarial augmentation
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.366536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a781e0b8-01cf-4695-be57-728a44094e04 · outbound
This paper cites On the road to online adaptation for semantic image segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation On the road to online adaptation for semantic image segmentation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.370549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 19dae853-b12f-4c7e-afc0-618ace08a2a1 · outbound
This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Tent: Fully Test-time Adaptation by Entropy Minimization
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:12:10.614085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7889c5b1-f2b6-4046-8c88-5b9a6b1806f8 · outbound
This paper cites Stacked condi- tional generative adversarial networks for jointly learning shadow detection and shadow removal.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Stacked condi- tional generative adversarial networks for jointly learning shadow detection and shadow removal
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.349838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 120540da-e221-43b2-8404-5abc25a6f027 · outbound
This paper cites Continual test-time domain adaptation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Continual test-time domain adaptation
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.333818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7a912a1f-bea0-40d1-8cf8-fee45747c71e · outbound
This paper cites Dynamically instance- guided adaptation: A backward-free approach for test-time domain adaptive semantic segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Dynamically instance- guided adaptation: A backward-free approach for test-time domain adaptive semantic segmentation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.200484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6d398646-fc14-45c9-8239-74716d4cf69d · outbound
This paper cites Continual test-time domain adaptation via dynamic sample selection.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Continual test-time domain adaptation via dynamic sample selection
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.314483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e54e8048-89c9-4503-bb37-9a64bf8de41f · outbound
This paper cites Focused and collaborative feedback integration for interactive image seg- mentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Focused and collaborative feedback integration for interactive image seg- mentation
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.337206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 07377e69-ffbd-498a-9b5a-920bb5355604 · outbound
This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing in- ference time.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing in- ference time
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.353927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation baf9d91a-350d-457d-b8de-5c87cd7766c5 · outbound
This paper cites Robust fine-tuning of zero-shot models.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Robust fine-tuning of zero-shot models
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.174449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c36012f8-6b8a-4bc0-9e52-53c077388a84 · outbound
This paper cites Ties-merging: Resolving interference when merging models.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Ties-merging: Resolving interference when merging models
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.345558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 921add7e-d61b-45ea-9cc1-fe53d359eec9 · outbound
This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T08:12:10.627107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 747e466d-6b6a-42dd-b800-666ff1de3317 · outbound
This paper cites Open-vocabulary sam: Seg- ment and recognize twenty-thousand classes interactively.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Open-vocabulary sam: Seg- ment and recognize twenty-thousand classes interactively
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.226349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2253e102-9e97-43e6-bb7a-4f0d0014409a · outbound
This paper cites Auxadapt: Stable and efficient test-time adaptation for temporally consistent video semantic segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Auxadapt: Stable and efficient test-time adaptation for temporally consistent video semantic segmentation
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.244883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1a324a96-fc56-4ae2-855d-7b838e3f55d7 · outbound
This paper cites Graco: Granularity-controllable interactive segmentation.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Graco: Granularity-controllable interactive segmentation
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.149294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6f94932c-5817-45c6-b63d-767c5b62097f · outbound
This paper cites Interactive segmentation as gaussion process classification.
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation Interactive segmentation as gaussion process classification
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T08:12:11.144443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.