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Paper Citation Record · LEDGER

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection

As of 10 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.25392.

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

pith.paper-citation-record.v1
2607.25392 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:37:39.176755Z

measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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47 of 47 outbound references displayed

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Outbound references

Observation b06ddb3d-6cfc-4a84-83a0-76725fa4fbe4 · outbound

This paper cites Salient object detection in the deep learning era: An in- depth survey.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 44(6):3239–3259, 2021.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Salient object detection in the deep learning era: An in- depth survey.IEEE Transactions on Pattern Anal- ysis and Machine Intelligence, 44(6):3239–3259, 2021

Reference 1

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Observation a0275ef6-d37f-4306-9e87-f1bb6d732c6b · outbound

This paper cites Shifting more attention to video salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Shifting more attention to video salient object detection

Reference 2

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Observation 1e801073-ede0-4d4a-bdd1-466f02598f85 · outbound

This paper cites Salient object detec- tion in rgb-d videos.IEEE Transactions on Image Processing, 33:6660–6675, 2024.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Salient object detec- tion in rgb-d videos.IEEE Transactions on Image Processing, 33:6660–6675, 2024

Reference 3

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Observation 34c55980-9fac-451e-89f3-5edceb00c9b5 · outbound

This paper cites Dvsod: Rgb-d video salient object detection.Ad- vances in Neural Information Processing Systems, 36:8774–8787, 2023.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Dvsod: Rgb-d video salient object detection.Ad- vances in Neural Information Processing Systems, 36:8774–8787, 2023

Reference 4

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Observation d3f1a690-211b-43ce-aa9f-325ddd532df6 · outbound

This paper cites Vidsod-100: A new dataset and a baseline model for rgb-d video salient object detection.International Journal of Computer Vision, 132(11):5173–5191, 2024.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Vidsod-100: A new dataset and a baseline model for rgb-d video salient object detection.International Journal of Computer Vision, 132(11):5173–5191, 2024

Reference 5

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Observation 4cc892be-5689-4a2f-8633-5e354467dee6 · outbound

This paper cites Segment anything.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Segment anything

Reference 6

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Observation 7e336b2e-5821-48c3-a6ab-955ca02b5838 · outbound

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

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection SAM 2: Segment Anything in Images and Videos

Reference 7

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Observation b5bbdb8d-2bc4-4c6c-8021-5ea231cb1c5d · outbound

This paper cites Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022

Reference 8

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Observation 72e4fed7-d64f-4174-894f-e8b55622dbdd · outbound

This paper cites Jl-dcf: Joint learning and densely- cooperative fusion framework for rgb-d salient ob- ject detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Jl-dcf: Joint learning and densely- cooperative fusion framework for rgb-d salient ob- ject detection

Reference 9

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Observation 6c73c36c-2f78-4786-9ccb-52bf2deea06b · outbound

This paper cites Calibrated rgb-d salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Calibrated rgb-d salient object detection

Reference 10

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Observation a253552b-f006-4e8e-8252-db4238119320 · outbound

This paper cites Cross-modal fusion and pro- gressive decoding network for rgb-d salient object detection.International Journal of Computer Vi- sion, 132(8):3067–3085, 2024.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Cross-modal fusion and pro- gressive decoding network for rgb-d salient object detection.International Journal of Computer Vi- sion, 132(8):3067–3085, 2024

Reference 11

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Observation 7c68a2bd-f3b6-46e2-a933-ca72fcc97281 · outbound

This paper cites Catnet: A cascaded and ag- gregated transformer network for rgb-d salient ob- ject detection.IEEE Transactions on Multimedia, 26:2249–2262, 2023.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Catnet: A cascaded and ag- gregated transformer network for rgb-d salient ob- ject detection.IEEE Transactions on Multimedia, 26:2249–2262, 2023

Reference 12

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Observation 8dcb1812-da7c-4a64-be66-bb2da38f6f5c · outbound

This paper cites Flow guided recurrent neural en- coder for video salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Flow guided recurrent neural en- coder for video salient object detection

Reference 13

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source=pdf_text observed=2026-08-01T02:37:36.716323Z digest=sha256:2a6e7125fc575fca89e8d8eec1e0f14f3df98af505a8d4e18df4064c095b9a9c

Observation 5c01fc60-60be-440d-8dbf-d23b375855fd · outbound

This paper cites Motion guided attention for video salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Motion guided attention for video salient object detection

Reference 14

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Observation 42e3bcaf-a4a1-48da-a0ae-da5c1706b9bb · outbound

This paper cites Video object segmentation using space-time memory networks.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Video object segmentation using space-time memory networks

Reference 15

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Observation 81fe4626-bbc8-4d7e-8ba2-d18a6045d459 · outbound

This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model

Reference 16

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Observation c3c94613-6948-40de-87d4-b15921e4ca76 · outbound

This paper cites Look before you match: Instance understanding matters in video object segmentation.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Look before you match: Instance understanding matters in video object segmentation

Reference 17

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Observation 450f6c0a-9a16-4e66-afac-b0b99ea3a980 · outbound

This paper cites Learning better video query with sam for video instance segmentation.IEEE Transac- tions on Circuits and Systems for Video Technol- ogy, 35(4):2963–2974, 2024.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Learning better video query with sam for video instance segmentation.IEEE Transac- tions on Circuits and Systems for Video Technol- ogy, 35(4):2963–2974, 2024

Reference 18

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Observation 864311b9-413e-484c-8d16-511dddf05b16 · outbound

This paper cites Depth-cooperated trimodal network for video salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Depth-cooperated trimodal network for video salient object detection

Reference 19

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source=pdf_text observed=2026-08-01T02:37:36.785910Z digest=sha256:c9da20a16fbc236f76f3217dea5944a98af9658df0a62d82cd9a1c0d4b5e6f26

Observation f18cf819-95d0-4e14-9b99-fcd5d3218d75 · outbound

This paper cites Samba: A unified mamba-based framework for general salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Samba: A unified mamba-based framework for general salient object detection

Reference 20

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Observation 43fefb8c-1166-4c54-8c9d-47d5a2ebf183 · outbound

This paper cites Lightweight multi-frequency enhancement net- work for rgb-d video salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Lightweight multi-frequency enhancement net- work for rgb-d video salient object detection

Reference 21

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Observation 9da73e9c-ad57-4eee-965d-b9328cc64811 · outbound

This paper cites Multi-scale and detail-enhanced segment anything model for salient object detec- tion.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Multi-scale and detail-enhanced segment anything model for salient object detec- tion

Reference 22

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Observation 4142961f-12e4-45a5-acb6-5feafbb724d1 · outbound

This paper cites Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance

Reference 23

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Observation 01fc629d-d1af-4a1b-be94-4a6f8a4f5342 · outbound

This paper cites Samsod: Re- thinking sam optimization for rgb-t salient ob- ject detection.IEEE Transactions on Multimedia, 2026.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Samsod: Re- thinking sam optimization for rgb-t salient ob- ject detection.IEEE Transactions on Multimedia, 2026

Reference 24

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Observation 655cb8be-386c-4305-8a46-7eecf5cb9a58 · outbound

This paper cites Kan-sam: Kolmogorov-arnold net- work guided segment anything model for rgb- t salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Kan-sam: Kolmogorov-arnold net- work guided segment anything model for rgb- t salient object detection

Reference 25

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Observation ced01471-217e-4ed1-8764-21b23c619d3f · outbound

This paper cites Sam- daq: Segment anything model with depth-guided adaptive queries for rgb-d video salient object de- tection.arXiv preprint arXiv:2511.09870, 2025.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Sam- daq: Segment anything model with depth-guided adaptive queries for rgb-d video salient object de- tection.arXiv preprint arXiv:2511.09870, 2025

Reference 26

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Observation ddd513c0-7993-4431-82f5-49dce1890337 · outbound

This paper cites Raft: Recurrent all- pairs field transforms for optical flow.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Raft: Recurrent all- pairs field transforms for optical flow

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Observation 980aa9f4-13c6-45d8-96fa-85d274950199 · outbound

This paper cites Video segmenta- tion by tracking many figure-ground segments.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Video segmenta- tion by tracking many figure-ground segments

Reference 28

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Observation ceac4bb9-d2b5-42c0-b5d0-d729dd8ad5d1 · outbound

This paper cites Segmentation of moving objects by long term video analysis.IEEE transactions on pattern anal- ysis and machine intelligence, 36(6):1187–1200, 2013.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Segmentation of moving objects by long term video analysis.IEEE transactions on pattern anal- ysis and machine intelligence, 36(6):1187–1200, 2013

Reference 29

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Observation e6f1425d-969b-41fe-bfc3-617f984e9405 · outbound

This paper cites Consistent video saliency using local gradient flow optimization and global refinement.IEEE Transactions on Image Processing, 24(11):4185– 4196, 2015.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Consistent video saliency using local gradient flow optimization and global refinement.IEEE Transactions on Image Processing, 24(11):4185– 4196, 2015

Reference 30

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Observation 9e5571af-4a68-4f0e-a4d5-fc6970f9a4f8 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection A benchmark dataset and evaluation methodology for video object segmentation

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Observation 1c7ddcb7-883b-4cd3-a9d5-249f8c54d40d · outbound

This paper cites A benchmark dataset and saliency-guided stacked autoencoders for video-based salient object detec- tion.IEEE Transactions on Image Processing, 27(1):349–364, 2017.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection A benchmark dataset and saliency-guided stacked autoencoders for video-based salient object detec- tion.IEEE Transactions on Image Processing, 27(1):349–364, 2017

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Observation dabfd078-9147-4760-8419-80f2ff0f835e · outbound

This paper cites Revisiting video saliency prediction in the deep learning era.IEEE transactions on pattern anal- ysis and machine intelligence, 43(1):220–237, 2019.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Revisiting video saliency prediction in the deep learning era.IEEE transactions on pattern anal- ysis and machine intelligence, 43(1):220–237, 2019

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Observation b3b103e9-5348-40ec-9bdc-9d5179a59fa7 · outbound

This paper cites Flowformer++: Masked cost volume autoencod- ing for pretraining optical flow estimation.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Flowformer++: Masked cost volume autoencod- ing for pretraining optical flow estimation

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source=pdf_text observed=2026-08-01T02:37:38.852636Z digest=sha256:cb45c2f545e0ce29d22a6059ee4333f4929f5ed7c44886bbd0164b3519b549f7

Observation 9abeda8e-5b9c-43ea-91a0-3aee37174511 · outbound

This paper cites Cpal: Cross-prompting adapter with loras for rgb+ x semantic segmentation.IEEE Trans- actions on Circuits and Systems for Video Tech- nology, 35(6):5858–5871, 2025.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Cpal: Cross-prompting adapter with loras for rgb+ x semantic segmentation.IEEE Trans- actions on Circuits and Systems for Video Tech- nology, 35(6):5858–5871, 2025

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source=pdf_text observed=2026-08-01T02:37:39.007292Z digest=sha256:f0ec3c2fea68e9f2fe3b93e2e5f63b52cd38e1701f035d69be0bd60a9e51a6b1

Observation 1b243fe2-ddd8-414e-af45-8e8c1cee1914 · outbound

This paper cites Vision transformers for dense predic- tion.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Vision transformers for dense predic- tion

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source=pdf_text observed=2026-08-01T02:37:39.067493Z digest=sha256:00ccb27ad9d1794cdca2cee963cc3950b6dab68637cb68403c64095339e97821

Observation bcfbc476-149f-46c0-b64b-b8c7c234589a · outbound

This paper cites Learning to detect salient objects with image-level supervision.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Learning to detect salient objects with image-level supervision

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source=pdf_text observed=2026-08-01T02:37:39.150083Z digest=sha256:945c9733bcaea788515bf7017149025b52b181d43f64c27957bc4020aa54e6f2

Observation 3c35cf34-4499-43ac-b34a-1b28f877482c · outbound

This paper cites Structure-measure: A new way to evaluate foreground maps.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Structure-measure: A new way to evaluate foreground maps

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source=pdf_text observed=2026-08-01T02:37:39.153091Z digest=sha256:d7d892f1185c2ec552ec57beb2c4a6d47449994930c94700102ec82649ffa581

Observation 82ebdfad-54e3-4dcf-bf95-225fbe7563dc · outbound

This paper cites Salient object detection: A bench- mark.IEEE transactions on image processing, 24(12):5706–5722, 2015.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Salient object detection: A bench- mark.IEEE transactions on image processing, 24(12):5706–5722, 2015

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source=pdf_text observed=2026-08-01T02:37:39.155729Z digest=sha256:7e530a642cfb8fc483b8bd0bde965b3007659a24e1a9282bc4f1a59c99ead42e

Observation 5110f97b-c0bc-4069-9834-2a56c4838a2f · outbound

This paper cites Frequency-tuned salient region detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Frequency-tuned salient region detection

Reference 40

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source=pdf_text observed=2026-08-01T02:37:39.158339Z digest=sha256:21cfc198eb13dcc1e4adfa507479f64610d33989988dcedbd664773ef4ebb674

Observation eb33d64b-cd4b-4a4c-b0ea-f812034e1081 · outbound

This paper cites Saliency filters: Contrast based filtering for salient region detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Saliency filters: Contrast based filtering for salient region detection

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source=pdf_text observed=2026-08-01T02:37:39.161526Z digest=sha256:7fca8eee978c59c890a2592a89d6485f0e76866075cfab8b403a895343f94705

Observation 07c14891-aca0-4909-a363-5b40400013a5 · outbound

This paper cites Bbs-net: Rgb-d salient ob- ject detection with a bifurcated backbone strategy network.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Bbs-net: Rgb-d salient ob- ject detection with a bifurcated backbone strategy network

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source=pdf_text observed=2026-08-01T02:37:39.163951Z digest=sha256:e86b21c541d600b2b17c8e002863dca556411e4fb4a4d97c6385253f7809c6a8

Observation e8feafea-f4bd-4491-b632-4274d84fa271 · outbound

This paper cites Specificity- preserving rgb-d saliency detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Specificity- preserving rgb-d saliency detection

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source=pdf_text observed=2026-08-01T02:37:39.166341Z digest=sha256:cd3e0855fa5c6eeac1209787c00b3bbf9339a8d1e94fd4d79c7f075ca01f0647

Observation a4cdf4c4-5ee6-4c76-967f-c53cef21c6fe · outbound

This paper cites 3-d convolutional neural net- works for rgb-d salient object detection and be- yond.IEEE Transactions on Neural Networks and Learning Systems, 35(3):4309–4323, 2022.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection 3-d convolutional neural net- works for rgb-d salient object detection and be- yond.IEEE Transactions on Neural Networks and Learning Systems, 35(3):4309–4323, 2022

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source=pdf_text observed=2026-08-01T02:37:39.169281Z digest=sha256:68d914c638725bbc38315350147d1e2930820c40a25c6d13abea267ea0a50ce9

Observation 42a97253-fbf2-4a06-8e1e-5c109d23c1bf · outbound

This paper cites Point-aware interaction and cnn-induced refine- ment network for rgb-d salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Point-aware interaction and cnn-induced refine- ment network for rgb-d salient object detection

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source=pdf_text observed=2026-08-01T02:37:39.171928Z digest=sha256:afd4b879170502828df794fee3c3bddb31c2b2a16e6086513407fbcdfc3b56b3

Observation 29c12e38-1722-437c-9c63-8653f8c5bc02 · outbound

This paper cites Full-duplex strat- egy for video object segmentation.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Full-duplex strat- egy for video object segmentation

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source=pdf_text observed=2026-08-01T02:37:39.174312Z digest=sha256:70026d5eb5091ed30ecf83f4c3ecb036d3f35d6668e41ce2bedb571edaf52fd5

Observation 9ebd69f9-252e-43a8-b7ef-097fd10aebe3 · outbound

This paper cites Dynamic context-sensitive filter- ing network for video salient object detection.

RDVSv2: A Large-scale Benchmark for RGB-D Video Salient Object Detection Dynamic context-sensitive filter- ing network for video salient object detection

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source=pdf_text observed=2026-08-01T02:37:39.176755Z digest=sha256:dbd240c714c3938f0d9b35cc87233b006dfe385d3a31f953a38bd987b41ccd53

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