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Paper Citation Record · LEDGER

When SAM2 Meets Video Shadow and Mirror Detection

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.19293.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.19293 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:46:41.500491Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact3
  • verified fuzzy21
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 937867b5-fb26-4433-b6f3-9596dc0c3dec · outbound

This paper cites Segment Anything.

When SAM2 Meets Video Shadow and Mirror Detection Segment Anything

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.298641Z digest=sha256:5f5f906ab986be10c46f3acf71d7d99ef109c637c58aa107d325069bc3a83060

Observation 396c8741-3c9b-4c9a-85a0-749e73866b13 · outbound

This paper cites SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More.

When SAM2 Meets Video Shadow and Mirror Detection SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 2

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.304629Z digest=sha256:572d18a3216005089dd9d3650b031871d2d588993cd40b9ea830415ae61314f8

Observation 199cc126-3032-42d6-911b-408a9db64852 · outbound

This paper cites Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection.

When SAM2 Meets Video Shadow and Mirror Detection Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.310768Z digest=sha256:f2b6592d6955d2cfd0d71c4e54522ebb6b2ec74f78a3e960dba643d29c4365cd

Observation 718ba158-8ce6-4d8d-9db5-7854f2c1e8e6 · outbound

This paper cites Underwater Camouflaged Object Tracking Meets Vision-Language SAM2.

When SAM2 Meets Video Shadow and Mirror Detection Underwater Camouflaged Object Tracking Meets Vision-Language SAM2

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.317658Z digest=sha256:7f16e2876def695ea6c40c0d65c82325abc793cae91189a541a927d702470cd2

Observation f4c155b5-7de9-4c96-922c-0f47be99cd32 · outbound

This paper cites When SAM Meets Shadow Detection.

When SAM2 Meets Video Shadow and Mirror Detection When SAM Meets Shadow Detection

Reference 5

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verified exact
local_arxiv, observed 2026-08-11T00:46:41.952800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.323718Z digest=sha256:f19a9ec28bb691f5b2144087fae3f2794ab9b870e4b2ddcac391cbc9f109dd56

Observation 996cc93e-c724-45b0-a2f3-b97b5812aedc · outbound

This paper cites Segment anything in medical images,.

When SAM2 Meets Video Shadow and Mirror Detection Segment anything in medical images,

Reference 6

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no resolver link, observed 2026-08-11T00:46:41.329399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.329399Z digest=sha256:55a969b21f294108fcd2e4661a9d7bcd506691391f1f57fa1d9d83b75fa4d857

Observation 67ac5057-0d1a-498c-9427-50346f20694c · outbound

This paper cites Segment anything model for medical image analysis: an experimental study,.

When SAM2 Meets Video Shadow and Mirror Detection Segment anything model for medical image analysis: an experimental study,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.423947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.335379Z digest=sha256:c8121051b55e8be5631df75b18420a0528ec81010dd7b13d9300782037c8d81e

Observation 126e310e-d310-49dc-8099-bb39e0596245 · outbound

This paper cites Samrs: Scaling-up remote sensing segmentation dataset with segment anything model,.

When SAM2 Meets Video Shadow and Mirror Detection Samrs: Scaling-up remote sensing segmentation dataset with segment anything model,

Reference 8

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raw_fallback, observed 2026-08-11T00:46:42.407014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.340420Z digest=sha256:3b7b79bcfbcff29aab4f459f6314f73e9cb2416c750c2bd9b4b5f18504d06929

Observation aa479bf1-46ba-4d61-8838-79a24818c9be · outbound

This paper cites The segment anything model (sam) for remote sensing applications: From zero to one shot,.

When SAM2 Meets Video Shadow and Mirror Detection The segment anything model (sam) for remote sensing applications: From zero to one shot,

Reference 9

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raw_fallback, observed 2026-08-11T00:46:42.391195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.345203Z digest=sha256:78611e6118235fa53753944803139f0b75df12a3402b8fb4a5c4dbe4445627d2

Observation 065eabc7-4679-4235-a45b-d1db31b4cc50 · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

When SAM2 Meets Video Shadow and Mirror Detection Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.350027Z digest=sha256:e2a7bbd243739dbf5bc3500e2c6fe618b33fbc1ec48661066003f05c50b5a4d4

Observation 01967ce5-e1c9-4268-bd2d-4483b78ca739 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

When SAM2 Meets Video Shadow and Mirror Detection LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.355277Z digest=sha256:bc2be1a03916a29d24ba0f44da431394f87956f7f4feeee49d0970481a587fda

Observation bfb52543-761a-4542-8f79-e7db71f03806 · outbound

This paper cites AdapterShadow: Adapting Segment Anything Model for Shadow Detection.

When SAM2 Meets Video Shadow and Mirror Detection AdapterShadow: Adapting Segment Anything Model for Shadow Detection

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.361293Z digest=sha256:d0480cdc7e144a7ceee7e55309035ffb4e0d181315ebbdc0b0c4e03f43630213

Observation 882f98a6-1f03-4098-9de4-3142d7c50b1e · outbound

This paper cites Make seg- ment anything model perfect on shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Make seg- ment anything model perfect on shadow detection,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.374555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.366245Z digest=sha256:ac67c228691725fa55d5a08f543c3e05fad0aa4d97402fac06449f41ad93952e

Observation 0cb31ff2-c329-40e9-a660-084d1a83b222 · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

When SAM2 Meets Video Shadow and Mirror Detection Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 14

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no resolver link, observed 2026-08-11T00:46:41.371655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.371655Z digest=sha256:471bcf2ff62b3ab12b6411e78cc87e53cdcba9495c31bce482dc2ae896aab719

Observation f0bcbcad-47d1-41ef-8597-56331bb83b68 · outbound

This paper cites 3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable tumor segmentation,.

When SAM2 Meets Video Shadow and Mirror Detection 3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable tumor segmentation,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.357366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.376899Z digest=sha256:ff55e545cc9fa671fb8035cdb3f1dc1e168fac7bca48ca11a8fe8b1093d48ef8

Observation 25548974-fb77-4d3c-9606-f77c27b19296 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

When SAM2 Meets Video Shadow and Mirror Detection SAM 2: Segment Anything in Images and Videos

Reference 16

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no resolver link, observed 2026-08-11T00:46:41.381854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.381854Z digest=sha256:afe34c71ee7c6747dd7bb7505c4a85e5ed189934fd7804f6578da09bf6bfb7cf

Observation 3d19fde6-467a-4af9-b83a-15d3f6a694b6 · outbound

This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.

When SAM2 Meets Video Shadow and Mirror Detection SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 17

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no resolver link, observed 2026-08-11T00:46:41.386886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.386886Z digest=sha256:213884f458078ca8708b6ce6b904a8e3394cb72da5968e6d257eb859c7392bd0

Observation fff2a989-5f73-43b1-b877-471967ffdd95 · outbound

This paper cites Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2.

When SAM2 Meets Video Shadow and Mirror Detection Evaluating SAM2's Role in Camouflaged Object Detection: From SAM to SAM2

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:46:41.827050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.391906Z digest=sha256:686563aeae4b10935bcf8924f3e0b843533349b566f31a2ac1ecccdc6ed1853b

Observation 8e005e2a-2a53-411d-868f-4bddc4547014 · outbound

This paper cites Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation,.

When SAM2 Meets Video Shadow and Mirror Detection Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.396927Z digest=sha256:2b35a1033542eaf485b27988251e0771a2731ed532b360b4d6d59f584cdfea54

Observation f1f1023c-d46c-4c3e-9a80-df51991c4cd1 · outbound

This paper cites When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation.

When SAM2 Meets Video Shadow and Mirror Detection When SAM2 Meets Video Camouflaged Object Segmentation: A Comprehensive Evaluation and Adaptation

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.401919Z digest=sha256:65cc3412e74f2937dcb32fb818b32f7d154a606a4236f6fbb605eb20d8dfa0b3

Observation 880a2892-126b-4555-9ba5-b55e161e3c5c · outbound

This paper cites Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment.

When SAM2 Meets Video Shadow and Mirror Detection Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment

Reference 21

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no resolver link, observed 2026-08-11T00:46:41.407535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:46:41.407535Z digest=sha256:d55d37173bb889d78c60ea7c133e9ba585d87bcf70decf690f743bdc3da92c4a

Observation a321ab16-0cd2-4f71-87f2-a7d19b22827a · outbound

This paper cites Triple- cooperative video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Triple- cooperative video shadow detection,

Reference 22

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raw_fallback, observed 2026-08-11T00:46:42.339132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.413387Z digest=sha256:2582a1985f8857948e5abf1be2b7604ff1206850c418f694aa3eaf05caf5c439

Observation 1781fe83-40c5-42ca-b80b-dabeeecb4392 · outbound

This paper cites Learning to detect mirrors from videos via dual correspondences,.

When SAM2 Meets Video Shadow and Mirror Detection Learning to detect mirrors from videos via dual correspondences,

Reference 23

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.419023Z digest=sha256:73df186eb20a059f4a0548416b45d3bf1612f12b8f39acf556eecf0d77330b0e

Observation 519944c2-b346-4f9e-8413-f88851759630 · outbound

This paper cites Temporal Feature Warping for Video Shadow Detection.

When SAM2 Meets Video Shadow and Mirror Detection Temporal Feature Warping for Video Shadow Detection

Reference 24

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local_arxiv, observed 2026-08-11T00:46:41.548214Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.423903Z digest=sha256:7f43df6a11bf4d29e2938b090c42060ef1d1de1a2a8346a2449583a738486951

Observation 134a41be-5059-41f9-9d67-e709b8834691 · outbound

This paper cites Spatial-temporal fusion network for fast video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Spatial-temporal fusion network for fast video shadow detection,

Reference 25

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raw_fallback, observed 2026-08-11T00:46:42.300830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.428746Z digest=sha256:0a015558ab2ec81ada05969d3f7d0f7dc96136e7dc1eeb14b562dc330ff4b23e

Observation ebed49d8-0724-4fd7-be7d-d608a3ab2258 · outbound

This paper cites Video shadow detection via spatio-temporal interpolation consistency training,.

When SAM2 Meets Video Shadow and Mirror Detection Video shadow detection via spatio-temporal interpolation consistency training,

Reference 26

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raw_fallback, observed 2026-08-11T00:46:42.280717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.433779Z digest=sha256:9a0ab5f609f204c4d780cc7bdbe8e58092380e715be8790cd3f94c2605402447

Observation 0d8e731f-7942-428b-a74e-73de9c308e9e · outbound

This paper cites Learning shadow correspondence for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Learning shadow correspondence for video shadow detection,

Reference 27

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raw_fallback, observed 2026-08-11T00:46:42.262565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.438856Z digest=sha256:2703839d274f1383d94fffe8e7a46050f70bcacbc9afc958193eb23d55bee731

Observation 421ef7ef-82be-4ea1-b1f6-8e7177c90c66 · outbound

This paper cites Semi-supervised video shadow detection via image-assisted pseudo-label generation,.

When SAM2 Meets Video Shadow and Mirror Detection Semi-supervised video shadow detection via image-assisted pseudo-label generation,

Reference 28

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raw_fallback, observed 2026-08-11T00:46:42.245486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.444392Z digest=sha256:dff433aa18526270599b0f96f286ea2965e997b0aed254f7cab61041ae32e1a7

Observation da69fe21-c279-46e5-ab14-692f34b53566 · outbound

This paper cites Scotch and soda: A transformer video shadow detection framework,.

When SAM2 Meets Video Shadow and Mirror Detection Scotch and soda: A transformer video shadow detection framework,

Reference 29

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raw_fallback, observed 2026-08-11T00:46:42.228436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.449318Z digest=sha256:f5104a9d4713110679ec665ddf0a61afc520b1d9acc030546c8058e60d6cbd0d

Observation 459287de-d280-43d8-8fea-e656c4a93808 · outbound

This paper cites Detect any shadow: Segment anything for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Detect any shadow: Segment anything for video shadow detection,

Reference 30

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raw_fallback, observed 2026-08-11T00:46:42.209957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.454576Z digest=sha256:5cdbded374153a1787e51976fed98806cb5f081cf87982af22acf4bf498e3aa0

Observation a006224d-33b8-42e2-b424-34b965936db0 · outbound

This paper cites Timeline and boundary guided diffusion network for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Timeline and boundary guided diffusion network for video shadow detection,

Reference 31

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raw_fallback, observed 2026-08-11T00:46:42.186834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.459320Z digest=sha256:94ee5761f27a02525bfb95db23f9235a83c987c19b4af4f5701177f6345ac311

Observation 67c5e0aa-30ef-4f43-b809-1043b75e07b7 · outbound

This paper cites Learning motion-guided multi-scale memory features for video shadow detection,.

When SAM2 Meets Video Shadow and Mirror Detection Learning motion-guided multi-scale memory features for video shadow detection,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.163539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.464605Z digest=sha256:49e3d93d8cdd5ff394b820bb5595da6eadff7e0c1e4a76d27905558942c7cc65

Observation 5c64b9bc-d700-4529-b391-7f6837000f2d · outbound

This paper cites Two-stage video shadow detection via temporal-spatial adaption,.

When SAM2 Meets Video Shadow and Mirror Detection Two-stage video shadow detection via temporal-spatial adaption,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.144634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.470264Z digest=sha256:032a1788031ebd152fcb74a144871f0df732e4a3049e156ad883dc9a05f6105d

Observation e6d65c23-3f34-4aee-bfba-0f14647fe034 · outbound

This paper cites Structure-aware spatial- temporal interaction network for video shadow detection.

When SAM2 Meets Video Shadow and Mirror Detection Structure-aware spatial- temporal interaction network for video shadow detection

Reference 34

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raw_fallback, observed 2026-08-11T00:46:42.124281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.477797Z digest=sha256:6b4e23d249f010b776061caf0401508ad1bd3b01d9a1bb0eba1b9e6a4b3edf59

Observation 85ea366b-5b47-4e36-91f5-85d2f64c8a29 · outbound

This paper cites Effective video mirror detection with inconsistent motion cues,.

When SAM2 Meets Video Shadow and Mirror Detection Effective video mirror detection with inconsistent motion cues,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.106334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.483629Z digest=sha256:7b54c61512ea2c74c0726e96837b458387e3db16ab7576fc45c91228416d7273

Observation 72fef714-a946-4c86-a805-fcd6820af046 · outbound

This paper cites Zoom: Learning video mirror detection with extremely-weak supervision,.

When SAM2 Meets Video Shadow and Mirror Detection Zoom: Learning video mirror detection with extremely-weak supervision,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.086164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.490457Z digest=sha256:6433c12631b6265635a76fe644df0a8ca5d008756e1dd9ee4ab4592d4e01efff

Observation e6233b7d-2a34-4b0b-84b0-7d3e00b74cb8 · outbound

This paper cites Fusion of short-term and long- term attention for video mirror detection,.

When SAM2 Meets Video Shadow and Mirror Detection Fusion of short-term and long- term attention for video mirror detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.066238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.495683Z digest=sha256:530ec6aeac9a7e851da5de9685b99b02367fefc688cfa073d1b588b00d4ee535

Observation 05971109-200b-4383-aea5-d0b118885698 · outbound

This paper cites Farther than mirror: Explore pattern-compensated depth of mirror with temporal changes for video mirror detection.

When SAM2 Meets Video Shadow and Mirror Detection Farther than mirror: Explore pattern-compensated depth of mirror with temporal changes for video mirror detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:46:42.045248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T00:46:41.500491Z digest=sha256:2edaf23eb53cc2de36734537f7926359799906c1f2aa4044669e9e9ff87dba29

Pith citing papers

No inbound Pith citation observations are available.