Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-07T08:52:27.345411Z
Paper Citation Record · LEDGER
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark
As of 13 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2604.27499.
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
58 of 58 outbound references displayed
- verified exact7
- verified fuzzy51
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c0f7d832-870f-45e0-9332-c5af485dc3ff · outbound
This paper cites Deep depth estimation from thermal image.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Deep depth estimation from thermal image
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.257142Z
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 52a223b7-0adb-4220-b13a-9773f6112b59 · outbound
This paper cites Causal mode multiplexer: A novel framework for unbiased multispectral pedestrian detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Causal mode multiplexer: A novel framework for unbiased multispectral pedestrian detection
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.254328Z
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 d6b198d6-7b69-4ea5-82fe-909df5fec4b4 · outbound
This paper cites Multispectral object detection enhanced by cross-modal information complementary and cosine similarity channel resampling modules.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Multispectral object detection enhanced by cross-modal information complementary and cosine similarity channel resampling modules
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.269289Z
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 21abc1fe-af40-42f3-82db-b1654d7a0101 · outbound
This paper cites Infrared image super- resolution: A systematic review and future trends.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Infrared image super- resolution: A systematic review and future trends
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.299103Z
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 34fcc672-19fe-404b-99d0-191c027a6dbc · outbound
This paper cites Unirgb- ir: A unified framework for visible-infrared semantic tasks via adapter tuning.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Unirgb- ir: A unified framework for visible-infrared semantic tasks via adapter tuning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.266306Z
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 4e0f3029-6e65-4080-ab17-0e9a93e2a0a4 · outbound
This paper cites Progressive domain adaptation for thermal infrared tracking.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Progressive domain adaptation for thermal infrared tracking
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.247886Z
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 693a9954-e120-4a00-90f4-543b7f51739d · outbound
This paper cites Rellis-3d dataset: Data, benchmarks and analysis.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Rellis-3d dataset: Data, benchmarks and analysis
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.251303Z
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 28ef8d5b-6bf9-442b-9278-45fd5c1422e4 · outbound
This paper cites Orfd: A dataset and benchmark for off-road freespace detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Orfd: A dataset and benchmark for off-road freespace detection
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.263443Z
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 908433ac-5828-4d28-bc48-aa12d97d15e4 · outbound
This paper cites The goose dataset for perception in unstructured environments.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark The goose dataset for perception in unstructured environments
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.278714Z
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 4c4c67ec-ec11-4730-a500-0dc4ca4a2ff0 · outbound
This paper cites Cat: Cavs traversability dataset for off-road autonomous driving.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Cat: Cavs traversability dataset for off-road autonomous driving
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.239111Z
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 16b43a23-468f-4933-9935-fcb5f8afa2bf · outbound
This paper cites M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:56:26.559137Z
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 0c053cfb-a2ba-437f-9ee2-57e38b1c86ae · outbound
This paper cites Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:56:26.582899Z
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 da74321c-1af7-43a4-b54b-582190e8945d · outbound
This paper cites Exploiting temporal state space sharing for video semantic segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Exploiting temporal state space sharing for video semantic segmentation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.241820Z
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 d796780e-2841-4418-91b0-6038d917a0c3 · outbound
This paper cites Sne-roadseg+: Rethinking depth- normal translation and deep supervision for freespace detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Sne-roadseg+: Rethinking depth- normal translation and deep supervision for freespace detection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.227378Z
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 0d7d00a7-b76b-4ccd-bcf6-2e7bc219c81f · outbound
This paper cites Bifnet: Bidirectional fusion network for road segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Bifnet: Bidirectional fusion network for road segmentation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.230434Z
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 5ae55ac3-6db3-401e-adfd-11fb89261d18 · outbound
This paper cites Roadformer: Duplex transformer for rgb-normal semantic road scene parsing.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Roadformer: Duplex transformer for rgb-normal semantic road scene parsing
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.236307Z
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 773b5bdf-6b4d-444f-a81d-f9c1d30b2a77 · outbound
This paper cites Rod: Rgb-only fast and efficient off-road freespace detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Rod: Rgb-only fast and efficient off-road freespace detection
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.284501Z
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 ffc28c6b-c544-43a7-ac0a-19e88ebd2c2e · outbound
This paper cites Mask propagation for efficient video semantic segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Mask propagation for efficient video semantic segmentation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.221655Z
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 1811f4ae-dcc8-4985-8a08-5d6597f08442 · outbound
This paper cites Global motion understanding in large-scale video object segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Global motion understanding in large-scale video object segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.217305Z
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 5087a8c3-74aa-4461-b401-5771d3dfb9e7 · outbound
This paper cites Petrv2: A unified framework for 3d perception from multi-camera images.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Petrv2: A unified framework for 3d perception from multi-camera images
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.224503Z
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 1e8d0313-5cfa-4443-b112-910d17b242a8 · outbound
This paper cites Rgb-d video object segmentation via enhanced multi-store feature memory.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Rgb-d video object segmentation via enhanced multi-store feature memory
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.272051Z
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 52ae3efa-15f5-4f37-a3e2-da784ca72e9e · outbound
This paper cites Evolve: Event-guided deformable feature transfer and dual-memory refinement for low-light video object segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Evolve: Event-guided deformable feature transfer and dual-memory refinement for low-light video object segmentation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.301499Z
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 7406ee6e-3b8d-4750-b176-15e5e366d0ee · outbound
This paper cites The cityscapes dataset for semantic urban scene understanding.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark The cityscapes dataset for semantic urban scene understanding
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.208099Z
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 eceb98fe-d6bd-4747-82ef-1a56b6b51036 · outbound
This paper cites Vision meets robotics: The kitti dataset.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Vision meets robotics: The kitti dataset
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.214526Z
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 231f8a7c-a0df-4410-a6c0-41d9d24019c9 · outbound
This paper cites A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.204546Z
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 4f425155-8acc-4276-b8f9-363236800862 · outbound
This paper cites Tartandrive 2.0: More modalities and better infrastructure to further self-supervised learning re- search in off-road driving tasks.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Tartandrive 2.0: More modalities and better infrastructure to further self-supervised learning re- search in off-road driving tasks
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.211394Z
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 714193be-2451-43db-b2ae-a9041b4f0454 · outbound
This paper cites Advancing off-road autonomous driving: The large- scale orad-3d dataset and comprehensive benchmarks.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Advancing off-road autonomous driving: The large- scale orad-3d dataset and comprehensive benchmarks
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:56:26.567942Z
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 33d70a5d-5fe7-4589-b14a-050443507f3b · outbound
This paper cites Of- froadsynth open dataset for semantic segmentation using synthetic-data- based weight initialization for autonomous ugv in off-road environ- ments.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Of- froadsynth open dataset for semantic segmentation using synthetic-data- based weight initialization for autonomous ugv in off-road environ- ments
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.233244Z
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 07903249-38a4-47f9-9bcb-66ee6ea7bf4e · outbound
This paper cites Kaist multi-spectral day/night data set for autonomous and as- sisted driving.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Kaist multi-spectral day/night data set for autonomous and as- sisted driving
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.244780Z
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 dede9c86-0bfe-468e-8625-6ac358a7f6da · outbound
This paper cites Llvip: A visible-infrared paired dataset for low-light vision.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Llvip: A visible-infrared paired dataset for low-light vision
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.260011Z
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 82d4172e-303f-42bc-88ae-1094b2238ab0 · outbound
This paper cites Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.334868Z
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 ddb6c109-9030-4b52-b4a1-a211f031d8d6 · outbound
This paper cites Flir adas dataset.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Flir adas dataset
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.320753Z
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 62c0f9d3-d4ef-4d32-9c7e-dc31ddd7ff91 · outbound
This paper cites Target-aware dual adversarial learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Target-aware dual adversarial learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.343571Z
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 90ebcd95-4074-4185-b38f-c6d17d9b4373 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark U-net: Convolutional networks for biomedical image segmentation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.362483Z
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 345172f1-63db-4f45-8342-a74cba50ceb8 · outbound
This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Encoder- decoder with atrous separable convolution for semantic image segmen- tation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.374539Z
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 b24ee15f-6ab4-41fb-a8a0-646a588174f9 · outbound
This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Segformer: Simple and efficient design for semantic segmentation with transformers
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.340562Z
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 c22a1df9-d1f4-4862-92d0-5a6ed47999d7 · outbound
This paper cites Masked-attention mask transformer for universal image segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Masked-attention mask transformer for universal image segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.367504Z
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 37f7edfe-da7d-4ce1-850a-995430718b02 · outbound
This paper cites Segment anything.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Segment anything
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.314063Z
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 c5fac01a-2a18-4cfb-81d6-06ea0af54a2e · outbound
This paper cites Sne-roadseg: Incorporating surface normal information into semantic segmentation for accurate freespace detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Sne-roadseg: Incorporating surface normal information into semantic segmentation for accurate freespace detection
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.317141Z
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 d66d365a-afa6-4070-a46c-1d18d55be1b2 · outbound
This paper cites M2f2-net: Multi-modal feature fusion for unstructured off-road freespace detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark M2f2-net: Multi-modal feature fusion for unstructured off-road freespace detection
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.377853Z
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 f4621038-aea6-45cd-9629-938e25a285d0 · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Raft: Recurrent all-pairs field transforms for optical flow
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.304213Z
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 e7f00233-2cb0-4104-8f0d-342a53f74b90 · outbound
This paper cites Flowformer: A transformer architecture for optical flow.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Flowformer: A transformer architecture for optical flow
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.307439Z
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 31ba98bc-2eca-437e-8077-29f0086320ac · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark SAM 2: Segment Anything in Images and Videos
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:56:26.574052Z
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 739432bf-f2d2-4aa3-94a7-cf1938de3e37 · outbound
This paper cites Sam2long: Enhancing sam 2 for long video segmentation with a training-free memory tree.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Sam2long: Enhancing sam 2 for long video segmentation with a training-free memory tree
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.310206Z
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 94c94bc1-671b-47bd-9b9b-c89aa1658649 · outbound
This paper cites Samwise: Infusing wisdom in sam2 for text-driven video segmentation.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Samwise: Infusing wisdom in sam2 for text-driven video segmentation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.324710Z
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 bfaa1511-3bfc-49d5-b6d2-8045afccae25 · outbound
This paper cites CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detection
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-06-09T02:05:19.234981Z
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 772323bf-58d9-4f00-98d6-6e1b1c938f9c · outbound
This paper cites Benchmarking a large- scale fir dataset for on-road pedestrian detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Benchmarking a large- scale fir dataset for on-road pedestrian detection
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.332196Z
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 b609f43c-d37f-495a-8e03-78a5380846be · outbound
This paper cites Infraparis: A multi-modal and multi-task autonomous driving dataset.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Infraparis: A multi-modal and multi-task autonomous driving dataset
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.293712Z
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 4892f8bd-7bce-460c-bea3-925181cf8cd8 · outbound
This paper cites Automotive night vision thermal camera – ir-pilot series.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Automotive night vision thermal camera – ir-pilot series
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.290582Z
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 08097b06-1a34-4a64-8aef-c827a47abb05 · outbound
This paper cites Seeed studio.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Seeed studio
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.281616Z
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 0183c831-9067-4daa-9a21-746ecb4a2810 · outbound
This paper cites Advanced auto labeling solution with added features.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Advanced auto labeling solution with added features
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.287324Z
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 5014bb31-cb1f-4a41-a714-3f870729266e · outbound
This paper cites Rtfnet: Rgb-thermal fusion network for semantic segmentation of urban scenes.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Rtfnet: Rgb-thermal fusion network for semantic segmentation of urban scenes
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.296595Z
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 8bd86956-877b-4633-8a57-627239fd89d6 · outbound
This paper cites Safe robot navigation via multi-modal anomaly detection.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Safe robot navigation via multi-modal anomaly detection
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.275297Z
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 bbd7f95c-a48e-4d1f-b733-585366cc9e2f · outbound
This paper cites Self-supervised traversability prediction by learning to reconstruct safe terrain.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Self-supervised traversability prediction by learning to reconstruct safe terrain
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.337504Z
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 59dd96b9-e961-4684-888b-458b3cd1a631 · outbound
This paper cites Learning off-road terrain traversability with self-supervisions only.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Learning off-road terrain traversability with self-supervisions only
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.329196Z
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 b8a04de4-43d7-4d39-aaec-3523bfff0bfa · outbound
This paper cites ConvMAE: Masked Convolution Meets Masked Autoencoders.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark ConvMAE: Masked Convolution Meets Masked Autoencoders
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:56:26.592399Z
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 330cc3e1-eae3-49bc-8a21-48d8159e860d · outbound
This paper cites DINOv3.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark DINOv3
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:56:26.586956Z
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 d2ed46be-acb8-4e73-90a4-13256cb7c019 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
Towards All-Day Perception for Off-Road Driving: A Large-Scale Multispectral Dataset and Comprehensive Benchmark Imagenet: A large-scale hierarchical image database
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T08:43:52.371188Z
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.