Pith. sign in

Paper Citation Record · LEDGER

Video Domain Incremental Learning for Human Action Recognition in Home Environments

As of 18 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.16946.

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

pith.paper-citation-record.v1
2412.16946 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:15.647008Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

51 of 51 outbound references displayed

  • verified exact4
  • verified fuzzy32
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0a30a7f-fc8a-4f07-86e9-0674015c307f · outbound

This paper cites Just a Glimpse: Rethinking Temporal Information for Video Continual Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Just a Glimpse: Rethinking Temporal Information for Video Continual Learning,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.995352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.417475Z digest=sha256:e0ce1248c317f5cf389deb5c0140f5b9acf6be540af8d5d5992d1a85386c081f

Observation 7e088f65-afd9-4a46-9488-7efe655785f3 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments A continual learning survey: Defying forgetting in classification tasks,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.980286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.422961Z digest=sha256:571a0f60dedce88a2fc622ba09cec0910ec45fb402e79c36b2fa32444d28be78

Observation 5e2a156f-9904-4c69-a0be-8e7400a60c14 · outbound

This paper cites Multi-Domain Incremental Learning for Semantic Segmentation,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Multi-Domain Incremental Learning for Semantic Segmentation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.965657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.427939Z digest=sha256:59fc8d2a3905b1bbdea3e9db71ac7c17d2e426ca18573712dae19258093cf7bb

Observation 8487a3a2-bf38-4f3b-82c2-f4c351c2beac · outbound

This paper cites An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.951355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.433255Z digest=sha256:c7303b66eddd570ab343bad5e803770045defb20997856851e63d2da4db0ce7e

Observation dbdf703e-0dfb-482d-a313-44456420628d · outbound

This paper cites Clustering-based Domain-Incremental Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Clustering-based Domain-Incremental Learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.937035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.438174Z digest=sha256:fe895e9fd6c4eb79a4fbead2156dfc3dccc6abbcc7ac280d704a383dce4496c8

Observation 09a8f9f5-93ed-438f-8d1b-546f5ae0f7ed · outbound

This paper cites Class-Incremental Learning: Survey and Performance Evaluation on Image Classification,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Class-Incremental Learning: Survey and Performance Evaluation on Image Classification,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.922532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.443240Z digest=sha256:3cb951b0fe5fe9cc378a39550588a3edeb2466802da080bd39bae1c06c423f13

Observation 828e8add-99c1-419f-9fbc-84bd807708b7 · outbound

This paper cites Adversarial Cross-Domain Action Recognition with Co-Attention,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Adversarial Cross-Domain Action Recognition with Co-Attention,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.907447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.448142Z digest=sha256:2278d9ad3e084cd34a6435ad19fcf4bf65b119363d2c3f8463d94cd45a8bc12b

Observation ee833ab0-a319-4207-a737-2f0b9952989e · outbound

This paper cites Class-Incremental Learning for Action Recogni- tion in Videos,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Class-Incremental Learning for Action Recogni- tion in Videos,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.892767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.453222Z digest=sha256:a915c5d72c826eb8e95f1f59c3aea5438580f6e9b0bf10e8805e94df57a6c9b8

Observation 17104054-6c75-4746-b076-258a8d61cb32 · outbound

This paper cites Learning a Condensed Frame for Memory-Efficient Video Class- Incremental Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Learning a Condensed Frame for Memory-Efficient Video Class- Incremental Learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.877726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.457454Z digest=sha256:ff32d365fb4b6456f2a916de97de920cf08c85c00f87d41a4e72bc625c14998a

Observation 1e12fd24-6285-483f-ba62-e6b9c392eab3 · outbound

This paper cites Space-time Prompting for Video Class-incremental Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Space-time Prompting for Video Class-incremental Learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.863404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.461779Z digest=sha256:02895e52d7e7a777a23acc5ccfa0193c7897ff8643c5c24ee25f14d52c193e7e

Observation 672cd2d6-bad7-478d-b8cb-191a00a7654b · outbound

This paper cites A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.849035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.466182Z digest=sha256:b7240b025db6e5525ef498f05288410eee59144f39fcfba338447373091cfad5

Observation e6906bcc-a175-4f1f-8028-ffa024ded9db · outbound

This paper cites Spatio-temporal Contrastive Domain Adaptation for Action Recognition,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Spatio-temporal Contrastive Domain Adaptation for Action Recognition,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.834737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.470520Z digest=sha256:caa861baee22e76c75eea71aa0b2c9dc9fd93d2a5cb01f261048787505a3bc00

Observation 259e4b82-edaf-40cc-9145-7997c6b74168 · outbound

This paper cites Dual-Head Contrastive Domain Adaptation for Video Action Recog- nition,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Dual-Head Contrastive Domain Adaptation for Video Action Recog- nition,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.820022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.474904Z digest=sha256:3571a3e560e2f4bf3e256b8f33a5bbf0e71e79636f01cbdd74817245fe51927c

Observation 7232bb21-a62c-4bc8-b0f1-e782cdade4d0 · outbound

This paper cites PIVOT: Prompting for Video Continual Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments PIVOT: Prompting for Video Continual Learning,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.805287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.479446Z digest=sha256:1fcf9eef37bf70f6a798f12d0299560083c692d41ff0bfc3fc1576272a2d4eeb

Observation c2cf8dd3-79c1-46b8-bc34-1bf7721c45ae · outbound

This paper cites vCLIMB: A Novel Video Class Incremental Learning Benchmark,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments vCLIMB: A Novel Video Class Incremental Learning Benchmark,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.790597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.483795Z digest=sha256:1900520a42d4d7b04bc9684f56e1e60a0476ff47ef72e703d98ba0378c28edca

Observation c89af3c5-e1a2-42ae-8042-c611ca3ce479 · outbound

This paper cites Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.775207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.488222Z digest=sha256:34fcf0b0dd7c2a75883a9adfe07a6f6d8b8d4ea3e2dd1912c4a991745881350b

Observation 84d9b273-df8c-45a2-831e-fbb14f8e7219 · outbound

This paper cites S-Prompts Learning with Pre-trained Trans- formers: An Occam’s Razor for Domain Incremental Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments S-Prompts Learning with Pre-trained Trans- formers: An Occam’s Razor for Domain Incremental Learning,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.760593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.492807Z digest=sha256:ae61b20eb9e466f1d416039d2e2b819408c4a9542c2d0fbd8c741c164e7cbeaf

Observation f2668fab-d512-4524-9387-0c530594c439 · outbound

This paper cites Interact before Align: Leverag- ing Cross-Modal Knowledge for Domain Adaptive Action Recognition,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Interact before Align: Leverag- ing Cross-Modal Knowledge for Domain Adaptive Action Recognition,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.745384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.497360Z digest=sha256:93c3e10a7a9cda748a8a916d9d1322bd865555f6eb02a77ea9d8de34ea97f7af

Observation bd8567d3-e7fa-4b48-92b9-0a77278eb4de · outbound

This paper cites When Video Classification Meets Incremental Classes,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments When Video Classification Meets Incremental Classes,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.730537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.501671Z digest=sha256:a046fccb28176d56d03526af81f22425bee9eeb8c27890f79c43eb0f40a9d550

Observation bab703b3-d1da-459c-8073-c1af3f7aafa8 · outbound

This paper cites Toyota smarthome: Real-world activities of daily living,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Toyota smarthome: Real-world activities of daily living,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.716227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.506074Z digest=sha256:9c5911fded4f7af2ef1b6bdcbbcce359d44f61c7cedf15d51f1afdd07a0ed519

Observation db544803-1555-4b36-8cf8-ce9ad6663c0f · outbound

This paper cites Three types of incremental learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Three types of incremental learning,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.701238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.510433Z digest=sha256:eb324822c5366c5837875c45ac8d65ff5ce5400559ba73022921a7866dfe943f

Observation 377fd9d9-3bab-4a5f-ae99-e2ef821debfa · outbound

This paper cites iCaRL: Incremental Classifier and Representation Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments iCaRL: Incremental Classifier and Representation Learning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.685774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.514735Z digest=sha256:f2eaa8721bdab033304d3be3c4e1f729b4e8ffd28013a62290a8f85489b08bd7

Observation aa9e8840-acc1-4654-8e28-06fd0c3c13e6 · outbound

This paper cites Dark Experience for General Continual Learning: A Strong, Simple Baseline,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Dark Experience for General Continual Learning: A Strong, Simple Baseline,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.555619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.523703Z digest=sha256:0b671a5f12ca7b0ee81d61f78a387fada07ff1d9db851948d2ef96986de0eb86

Observation c84eebfa-ecfa-48f7-b1d1-e2a2ffaf453d · outbound

This paper cites On Tiny Episodic Memories in Continual Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments On Tiny Episodic Memories in Continual Learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.540695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.528134Z digest=sha256:b8abee5dbd9f67e2916f7142b99ef8133424d70cbffa4be8ba3b6f568acd3caf

Observation 82b848b8-a5e5-41cd-8c96-b7798ba6d045 · outbound

This paper cites Overcoming catastrophic forgetting in neural net- works,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Overcoming catastrophic forgetting in neural net- works,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.525080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.532688Z digest=sha256:3e3aad554da09b893c74fd10c19d7afe7df995f84c96d408a49b3f7e49d6d586

Observation 4fd339cc-fb5d-4a75-b671-9d7759ffec20 · outbound

This paper cites Continual Learning with Deep Generative Replay,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Continual Learning with Deep Generative Replay,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.509652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.537019Z digest=sha256:b45b9155debba0a387fa7daa5eeaf6ee0e5560029aec63e45de111e111198c50

Observation d61ff7e0-9d81-4e9b-82c4-f7ad905950e8 · outbound

This paper cites Learning without Forgetting,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Learning without Forgetting,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.494049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.541780Z digest=sha256:ab976be4dff4862c548ec9e831b750a533ad2f34379af77654f7897610594966

Observation 3de1519b-7973-4041-b865-fc58067e9785 · outbound

This paper cites Large Scale Incremen- tal Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Large Scale Incremen- tal Learning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.477927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.546134Z digest=sha256:1aa2a8922fa35690e66b99ec87fc1a0c60cbc5b0b85697941b7abce2e9012375

Observation e09acd94-c1b6-48e0-a254-f8e445562b03 · outbound

This paper cites PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.462798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.550783Z digest=sha256:963e1c16c3d7cdadc5443dba094d9a45e3905428a816fb0323d90295fc8d1b47

Observation def9acb9-9886-4bff-bd2d-557d609a8d16 · outbound

This paper cites Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.448091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.555162Z digest=sha256:80ccbf667ce13aa7753a9893ea336ed56f6ab6dd5fe673720eae3c0659502db8

Observation d82f064a-7bd9-485b-abba-821fdea249f1 · outbound

This paper cites Maintaining Discrimination and Fairness in Class Incremental Learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Maintaining Discrimination and Fairness in Class Incremental Learning,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.432505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.559560Z digest=sha256:9d0e729c86b45c6edc8dfeb6e0cfc9f84cf007e81287569de0274f4e6b65bfb7

Observation d83478e1-b1c5-4c41-badf-9b9c19be729a · outbound

This paper cites Human action recognition and prediction: A survey,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Human action recognition and prediction: A survey,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.563964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.563964Z digest=sha256:adb0fc0371d5fc44f9d664ded5bf42fa628ac4a619f29876378befad5a3a549e

Observation 80be7cce-d6c1-47d8-829f-890871182f13 · outbound

This paper cites Activitynet: A large-scale video benchmark for human activity understanding,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Activitynet: A large-scale video benchmark for human activity understanding,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.568426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.568426Z digest=sha256:242518d07b853ccbb3200ecfbf7a24a13ea8e743956c2e05e19db751741750af

Observation aa821018-79bf-40ae-a6d2-aaee1614d3f1 · outbound

This paper cites The "something something.

Video Domain Incremental Learning for Human Action Recognition in Home Environments The "something something

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.572904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.572904Z digest=sha256:4d6e4af261e88705759163d6203bf8d45e4ea867faac952a62b5b8106c17c9fb

Observation 91d9dc76-b54e-4762-8eab-e99cc3083f3e · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Video Domain Incremental Learning for Human Action Recognition in Home Environments UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.577584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.577584Z digest=sha256:6e22ca36cfa7dc7be21e6a4b3e2afb0fe98f22084f9564d6909e7788b6679cee

Observation c3dbfa81-b7c0-4d9e-bbd1-2f4bf0168c72 · outbound

This paper cites Interact before align: Leveraging cross-modal knowledge for domain adaptive action recognition,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Interact before align: Leveraging cross-modal knowledge for domain adaptive action recognition,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.582373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.582373Z digest=sha256:318b58c9baf7ffc27b361c328440152b3657f9eaad98f9722fccfaa920f8c6ab

Observation 2435c2c4-f36f-4fc4-b027-ef9ccb9ad9dd · outbound

This paper cites Aligning correlation information for domain adaptation in action recognition,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Aligning correlation information for domain adaptation in action recognition,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.586811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.586811Z digest=sha256:5ab6ed1c779b8774984978bb38dac2e8e14fe7549303ae94b5b6a9913f276bcf

Observation c924f587-1616-41b5-bc9b-1657dee6e47e · outbound

This paper cites Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-11T06:00:15.749239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.591147Z digest=sha256:bb9e6d40be86629b73c36c7f98b22745cd82eb76696f71e15afd250c9911f62c

Observation 36147226-9792-4fcf-853e-47f2ccc1683b · outbound

This paper cites ARID: A New Dataset for Recognizing Action in the Dark.

Video Domain Incremental Learning for Human Action Recognition in Home Environments ARID: A New Dataset for Recognizing Action in the Dark

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-11T06:00:16.147135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.596034Z digest=sha256:0b787c37435621d06f63cf8d173b002f93f5784e56b5b6343831727c73db9b40

Observation 7a95a468-c8d9-4546-9a7f-a1b36485ad21 · outbound

This paper cites Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.601187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.601187Z digest=sha256:54c4a30f3601590bc45b5504a2d0999e04d93d39e9dc92aa367fc1bcbcb96705

Observation 0f899884-072a-4fba-b1ef-bf84fca64c1d · outbound

This paper cites Using noise to compute error surfaces in connectionist networks: A novel means of reducing catastrophic forgetting,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Using noise to compute error surfaces in connectionist networks: A novel means of reducing catastrophic forgetting,

Reference 41

Resolution
verified exact
doi, observed 2026-08-11T06:00:15.718841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.605805Z digest=sha256:fc0b20c27e9cdd6e9baaf567379b56d429c990dbc906622023aff175dca04329

Observation c5999a57-1e83-4492-9e15-862eef4239e1 · outbound

This paper cites Classifier adaptation at prediction time,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Classifier adaptation at prediction time,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.610358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.610358Z digest=sha256:5be016e62080362d65b758561bea2358d330718d8ebf257d111c9583b08508d0

Observation ab559c04-c17b-4d6d-bc73-2c85672e1d21 · outbound

This paper cites A theory of learning from different domains,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments A theory of learning from different domains,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.614853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.614853Z digest=sha256:3ef443112d2d6a2debc7f75b5695a55aa9b0284dfe3cde9df295462686a8bf52

Observation a190e2f3-d1aa-468f-b734-afd2499d33d4 · outbound

This paper cites On the stability-plasticity dilemma of class-incremental learning,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments On the stability-plasticity dilemma of class-incremental learning,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.619383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.619383Z digest=sha256:bab0d2d5a37cdf48d9ef766289cce5399ed441cebe73edf42a49b1b8599f09fd

Observation 00412b12-343d-4777-b527-0783d8045f51 · outbound

This paper cites Delving into the continuous domain adaptation,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Delving into the continuous domain adaptation,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.623812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.623812Z digest=sha256:1456d33d728398b0d77d95c1633cf99052fe08d732997bb0b1bf12fe14f7b375

Observation c1c141bf-82d8-4a6e-8c9f-96187e2818c4 · outbound

This paper cites NTU RGB+D: A large scale dataset for 3d human activity analysis,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments NTU RGB+D: A large scale dataset for 3d human activity analysis,

Reference 46

Resolution
verified exact
doi, observed 2026-08-11T06:00:15.693795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.628380Z digest=sha256:95786248490f1e3d0d4b9b5eb18085ad11f8beaceac41e4fca8c94ffdbebf9cf

Observation d577652a-94b3-471d-a020-98bd0fe7f305 · outbound

This paper cites Etri-activity3d: A large-scale RGB-D dataset for robots to recognize daily activities of the elderly,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Etri-activity3d: A large-scale RGB-D dataset for robots to recognize daily activities of the elderly,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.633067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.633067Z digest=sha256:f2c28ed852ed8f50762abce159e2e757ce865e6d719cf0e22814c070f8f4919b

Observation 205e6b86-4b85-40b6-8f1e-c3cf8f8978c2 · outbound

This paper cites Temporal segment networks: Towards good practices for deep action recognition,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Temporal segment networks: Towards good practices for deep action recognition,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.637574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.637574Z digest=sha256:20958fe69ad517a29441447fd20fe65a6e5dea17772b60b6584be898a601ee97

Observation 2352cb9c-010d-4bad-80f9-1d78771555b9 · outbound

This paper cites An overview of gradient descent optimization algorithms.

Video Domain Incremental Learning for Human Action Recognition in Home Environments An overview of gradient descent optimization algorithms

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:15.642310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:15.642310Z digest=sha256:917ad79e72322bb223078e44a0829c6aff0371f5c0024299bc2ffcc12f8aa927

Observation ec328934-45b5-4df1-ad1c-d7bae0bc7931 · outbound

This paper cites Maximum entropy sampling,.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Maximum entropy sampling,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:16.417179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.647008Z digest=sha256:4bf45f708c68fbcf15e1561bbba343d82d189eb10cc527f607ce72e489c863d2

Observation 24c27f60-3efc-4c8d-b8a3-f51b1638292d · outbound

This paper cites an unresolved cited work.

Video Domain Incremental Learning for Human Action Recognition in Home Environments Unresolved cited work

Reference 5542

Resolution
unresolved
raw_fallback, observed 2026-08-11T06:00:16.570933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:15.519241Z digest=sha256:91a0422b6bbcbc1983c5006220c5abcb2b0f48b7c59b109c23e310ecf707e12e

Pith citing papers

No inbound Pith citation observations are available.